Matlab Imregister

Mastering Image Registration in MATLAB: A Deep Dive into `imregister`

Introduction:

Are you wrestling with misaligned images in your MATLAB projects? Do you need to precisely overlay images from different sources, timestamps, or perspectives? Then you've come to the right place. This comprehensive guide delves into the powerful `imregister` function in MATLAB, providing a practical, step-by-step walkthrough to master image registration techniques. We'll cover everything from basic usage and different registration methods to advanced optimization strategies and troubleshooting common issues. By the end, you'll be confidently applying `imregister` to solve your image alignment challenges.

What this post offers:

This post provides a complete guide to using `imregister` in MATLAB for image registration. We’ll cover various registration methods, parameter tuning, practical examples, and potential pitfalls. We'll also explore how to optimize your workflow for efficiency and accuracy.

1. Understanding Image Registration: The Fundamentals

Image registration is the process of aligning two or more images of the same scene taken from different viewpoints, at different times, or with different sensors. This is crucial in many applications, including medical imaging (aligning MRI and CT scans), remote sensing (combining satellite imagery), and computer vision (stitching images for panoramas). The goal is to find a geometric transformation that maps the pixels of one image (the moving image) onto the pixels of another image (the reference image).

Several factors influence the choice of registration method:

Image Content: The nature of the images (e.g., grayscale, color, texture) dictates suitable algorithms.
Transformation Type: The type of transformation needed (e.g., translation, rotation, affine, projective) depends on the relative positioning of the images.
Computational Cost: Some methods are more computationally expensive than others.
Accuracy Requirements: The desired precision of alignment impacts algorithm selection.

2. Introducing `imregister` in MATLAB: A Versatile Tool

MATLAB's `imregister` function offers a streamlined approach to image registration. It encapsulates several advanced algorithms, making it a versatile tool for a wide range of applications. The core function takes two images as input – a moving image and a reference image – along with parameters specifying the registration method and transformation type. It then returns the registered moving image and the transformation parameters used.

Key parameters within `imregister` include:

`transformation`: Specifies the type of geometric transformation (e.g., 'affine', 'rigid', 'similarity').
`optimizer`: Defines the optimization algorithm used to find the best transformation (e.g., 'monomodal', 'multimodal').
`metric`: Specifies the similarity metric used to evaluate the alignment (e.g., 'mean-squared-error', 'mutual information').
`InitialTransformation`: Allows for specifying an initial guess for the transformation.

3. Different Registration Methods and Their Applications

`imregister` supports various registration methods, each suited for specific scenarios:

Rigid Transformation: Preserves distances and angles between points. Ideal for images with minor shifts and rotations.
Affine Transformation: Allows for scaling, shearing, rotation, and translation. Suitable for images with more significant distortions.
Projective Transformation: Handles perspective distortions, useful for images taken from different viewpoints.

The choice of transformation depends on the type and extent of image misalignment. Experimentation might be needed to find the best method for a specific application.

4. Optimizing `imregister` for Efficiency and Accuracy

Achieving optimal results with `imregister` often involves careful parameter tuning. Factors to consider include:

Image Preprocessing: Techniques like noise reduction and contrast enhancement can improve registration accuracy.
Region of Interest (ROI): Focusing on a specific region of the image can speed up computation and reduce the impact of irrelevant features.
Optimizer Settings: Experiment with different optimizers and their parameters to find the best balance between speed and accuracy.
Metric Selection: The choice of similarity metric significantly influences the outcome. 'Mutual information' is often preferred for images with varying intensity distributions.

5. Practical Examples and Code Walkthroughs

Let's illustrate `imregister` usage with practical examples:

Example 1: Registering two grayscale images with affine transformation:

```matlab
% Load images
movingImage = imread('movingImage.jpg');
fixedImage = imread('fixedImage.jpg');

% Register the images
registeredImage = imregister(movingImage, fixedImage, 'affine');

% Display the results
figure;
subplot(1,2,1); imshow(movingImage); title('Moving Image');
subplot(1,2,2); imshow(registeredImage); title('Registered Image');
```

Example 2: Using a custom transformation:

Suppose you have a pre-calculated transformation matrix `T`:

```matlab
registeredImage = imwarp(movingImage,T,'OutputView',imref2d(size(fixedImage)));
```

6. Troubleshooting Common Issues and Error Handling

Common problems encountered when using `imregister`:

Poor Registration: This could be due to inappropriate transformation type, insufficient image features, or poor image quality.
Computational Cost: Large images or complex transformations can lead to long processing times.
Optimizer Convergence Issues: The optimizer might fail to converge, indicating a need to adjust parameters or try a different optimizer.

7. Advanced Techniques and Extensions

Beyond the basic functionality, `imregister` can be integrated with other MATLAB toolboxes for more advanced applications. For example, you can combine it with image segmentation or feature extraction techniques for more robust registration.

8. Alternatives to `imregister` and When to Use Them

While `imregister` is a powerful tool, alternative approaches might be more suitable in specific situations. For instance, if you're dealing with very large images or computationally demanding transformations, you may consider parallel processing or specialized libraries.

9. Conclusion: Mastering Image Registration with Confidence

This guide provides a comprehensive understanding of image registration using MATLAB's `imregister` function. By mastering the techniques outlined here, you'll be able to effectively align images for a wide range of applications. Remember to experiment with different parameters and methods to optimize your workflow for accuracy and efficiency.

Article Outline:

Name: Mastering Image Registration in MATLAB with `imregister`

Introduction: Hooking the reader, overview of the post's content.
Chapter 1: Fundamentals of Image Registration: Defining image registration, factors influencing method choice.
Chapter 2: `imregister` Function Overview: Detailed explanation of the function, key parameters, and functionalities.
Chapter 3: Exploring Registration Methods: In-depth discussion of rigid, affine, and projective transformations.
Chapter 4: Optimization and Parameter Tuning: Techniques for improving efficiency and accuracy.
Chapter 5: Practical Examples and Code: Step-by-step walkthroughs with MATLAB code examples.
Chapter 6: Troubleshooting Common Errors: Addressing common issues and solutions.
Chapter 7: Advanced Techniques and Extensions: Discussing advanced applications and integration with other toolboxes.
Chapter 8: Alternatives to `imregister`: Exploring alternative methods and when to use them.
Conclusion: Summarizing key takeaways and encouraging further exploration.

(The body of this document fulfills the content for each point in the outline above.)

FAQs:

1. What are the main types of transformations supported by `imregister`? Rigid, affine, and projective transformations are supported.
2. Which similarity metric is generally preferred for images with varying intensity distributions? Mutual information is often preferred.
3. How can I improve the speed of image registration with `imregister`? Using a region of interest (ROI), optimizing parameters, and employing parallel processing can improve speed.
4. What should I do if `imregister` fails to converge? Try different optimizers, adjust parameters, or preprocess the images.
5. Can `imregister` handle color images? Yes, it can handle color images, but the choice of metric and preprocessing might need adjustments.
6. What preprocessing steps are recommended before using `imregister`? Noise reduction, contrast enhancement, and potentially feature extraction.
7. How can I visualize the transformation calculated by `imregister`? Use the transformation matrix to warp a grid or overlay it onto the images.
8. What are some alternative MATLAB functions for image registration besides `imregister`? cp2tform, imfuse.
9. Where can I find more information and documentation on `imregister`? The official MATLAB documentation provides comprehensive details.

Related Articles:

1. Image Preprocessing Techniques in MATLAB: Discusses methods for enhancing image quality before registration.
2. Feature Extraction for Image Registration: Explores different techniques for identifying corresponding points in images.
3. Advanced Image Analysis using MATLAB: Expands on image processing capabilities beyond basic registration.
4. Medical Image Registration with MATLAB: Focuses on applications of image registration in medical imaging.
5. Remote Sensing Image Analysis using MATLAB: Covers techniques for processing and analyzing satellite imagery.
6. Introduction to Computer Vision with MATLAB: Provides a broader context for image registration in computer vision tasks.
7. Optimizing MATLAB Code for Performance: Techniques for improving the speed and efficiency of MATLAB programs.
8. Parallel Computing in MATLAB: How to leverage parallel processing for computationally intensive tasks.
9. Using MATLAB Toolboxes for Image Processing: Explores specialized toolboxes for advanced image analysis.

matlab imregister: 'Fundamentals of Image, Audio, and Video Processing Using MATLAB®' and 'Fundamentals of Graphics Using MATLAB®' Ranjan Parekh, 2022-02-28 This discounted two-book set contains BOTH: Fundamentals of Image, Audio, and Video Processing Using MATLAB® introduces the concepts and principles of media processing and its applications in pattern recognition by adopting a hands-on approach using program implementations. The book covers the tools and techniques for reading, modifying, and writing image, audio, and video files using the data analysis and visualization tool MATLAB®. This is a perfect companion for graduate and post-graduate students studying courses on image processing, speech and language processing, signal processing, video object detection and tracking, and related multimedia technologies, with a focus on practical implementations using programming constructs and skill developments. It will also appeal to researchers in the field of pattern recognition, computer vision and content-based retrieval, and for students of MATLAB® courses dealing with media processing, statistical analysis, and data visualization. Fundamentals of Graphics Using MATLAB® introduces fundamental concepts and principles of 2D and 3D graphics and is written for undergraduate and postgraduate students of computer science, graphics, multimedia, and data science. It demonstrates the use of MATLAB® programming for solving problems related to graphics and discusses a variety of visualization tools to generate graphs and plots. The book covers important concepts like transformation, projection, surface generation, parametric representation, curve fitting, interpolation, vector representation, and texture mapping, all of which can be used in a wide variety of educational and research fields. Theoretical concepts are illustrated using a large number of practical examples and programming codes, which can be used to visualize and verify the results.
matlab imregister: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert, 2021-09-23 The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging – others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.
matlab imregister: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li, 2022-09-15 The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.
matlab imregister: Fundamentals of Image, Audio, and Video Processing Using MATLAB® Ranjan Parekh, 2021-04-15 Fundamentals of Image, Audio, and Video Processing Using MATLAB® introduces the concepts and principles of media processing and its applications in pattern recognition by adopting a hands-on approach using program implementations. The book covers the tools and techniques for reading, modifying, and writing image, audio, and video files using the data analysis and visualization tool MATLAB®. Key Features: Covers fundamental concepts of image, audio, and video processing Demonstrates the use of MATLAB® on solving problems on media processing Discusses important features of Image Processing Toolbox, Audio System Toolbox, and Computer Vision Toolbox MATLAB® codes are provided as answers to specific problems Illustrates the use of Simulink for audio and video processing Handles processing techniques in both the Spatio-Temporal domain and Frequency domain This is a perfect companion for graduate and post-graduate students studying courses on image processing, speech and language processing, signal processing, video object detection and tracking, and related multimedia technologies, with a focus on practical implementations using programming constructs and skill developments. It will also appeal to researchers in the field of pattern recognition, computer vision and content-based retrieval, and for students of MATLAB® courses dealing with media processing, statistical analysis, and data visualization. Dr. Ranjan Parekh, PhD (Engineering), is Professor at the School of Education Technology, Jadavpur University, Calcutta, India, and is involved with teaching subjects related to Graphics and Multimedia at the post-graduate level. His research interest includes multimedia information processing, pattern recognition, and computer vision.
matlab imregister: Clinical Nuclear Medicine Physics with MATLAB® Maria Lyra Georgosopoulou, 2021-09-28 The use of MATLAB® in clinical Medical Physics is continuously increasing, thanks to new technologies and developments in the field. However, there is a lack of practical guidance for students, researchers, and medical professionals on how to incorporate it into their work. Focusing on the areas of diagnostic Nuclear Medicine and Radiation Oncology Imaging, this book provides a comprehensive treatment of the use of MATLAB in clinical Medical Physics, in Nuclear Medicine. It is an invaluable guide for medical physicists and researchers, in addition to postgraduates in medical physics or biomedical engineering, preparing for a career in the field. In the field of Nuclear Medicine, MATLAB enables quantitative analysis and the visualization of nuclear medical images of several modalities, such as Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), or a hybrid system where a Computed Tomography system is incorporated into a SPECT or PET system or similarly, a Magnetic Resonance Imaging system (MRI) into a SPECT or PET system. Through a high-performance interactive software, MATLAB also allows matrix computation, simulation, quantitative analysis, image processing, and algorithm implementation. MATLAB can provide medical physicists with the necessary tools for analyzing and visualizing medical images. It is useful in creating imaging algorithms for diagnostic and therapeutic purposes, solving problems of image reconstruction, processing, and calculating absorbed doses with accuracy. An important feature of this application of MATLAB is that the results are completely reliable and are not dependent on any specific γ-cameras and workstations. The use of MATLAB algorithms can greatly assist in the exploration of the anatomy and functions of the human body, offering accurate and precise results in Nuclear Medicine studies. KEY FEATURES Presents a practical, case-based approach whilst remaining accessible to students Contains chapter contributions from subject area specialists across the field Includes real clinical problems and examples, with worked through solutions Maria Lyra Georgosopoulou, PhD, is a Medical Physicist and Associate Professor at the National and Kapodistrian University of Athens, Greece. Photo credit: The Antikythera Mechanism is the world’s oldest known analog computer. It consisted of many wheels and discs that could be placed onto the mechanism for calculations. It is possible that the first algorithms and analog calculations in mathematics were implemented with this mechanism, invented in the early first centuries BC. It has been selected for the cover to demonstrate the importance of calculations in science.
matlab imregister: FAIR Jan Modersitzki, 2009-01-01 Whenever images taken at different times, from different viewpoints, and/or by different sensors need to be compared, merged, or integrated, image registration is required. Registration, also known as alignment, fusion, or warping, is the process of transforming data into a common reference frame. This book provides an overview of state-of-the-art registration techniques from theory to practice, numerous exercises, and via a supplementary Web page, free access to FAIR.m, a package that is based on the MATLAB software environment.
matlab imregister: Numerical Methods for Image Registration Jan Modersitzki, 2004 This text provides an introduction to image registration with particular emphasis on numerical methods in medical imaging. Designed for researchers in industry and academia, it should also be a suitable study guide for graduate mathematicians, computer scientists and medical physicists.
matlab imregister: Pathological Brain Detection Shui-Hua Wang, Yu-Dong Zhang, Zhengchao Dong, Preetha Phillips, 2018-07-20 This book provides detailed practical guidelines on how to develop an efficient pathological brain detection system, reflecting the latest advances in the computer-aided diagnosis of structural magnetic resonance brain images. Matlab codes are provided for most of the functions described. In addition, the book equips readers to easily develop the pathological brain detection system further on their own and apply the technologies to other research fields, such as Alzheimer’s detection, multiple sclerosis detection, etc.
matlab imregister: Medical Image Understanding and Analysis Bartłomiej W. Papież, Mohammad Yaqub, Jianbo Jiao, Ana I. L. Namburete, J. Alison Noble, 2021-07-06 This book constitutes the refereed proceedings of the 25th Conference on Medical Image Understanding and Analysis, MIUA 2021, held in July 2021. Due to COVID-19 pandemic the conference was held virtually. The 32 full papers and 8 short papers presented were carefully reviewed and selected from 77 submissions. They were organized according to following topical sections: biomarker detection; image registration, and reconstruction; image segmentation; generative models, biomedical simulation and modelling; classification; image enhancement, quality assessment, and data privacy; radiomics, predictive models, and quantitative imaging.
matlab imregister: Biomedical Image Registration James C. Gee, J.B. Antoine Maintz, Michael W. Vannier, 2003-11-03 The 2nd International Workshop on Biomedical Image Registration (WBIR) was held June 23–24, 2003, at the University of Pennsylvania, Philadelphia. Following the success of the ?rst workshop in Bled, Slovenia, this meeting aimed to once again bring together leading researchers in the area of biomedical image registration to present and discuss recent developments in the ?eld. Thetheory,implementationandapplicationofimageregistrationinmedicine have become major themes in nearly every scienti?c forum dedicated to image processingandanalysis. Thisintenseinterestre?ectsthe?eld’simportantrolein theconductofabroadandcontinuallygrowingrangeofstudies. Indeed,thete- niques have enabled some of the most exciting contemporary developments in the clinical and research application of medical imaging, including fusion of m- timodality data to assist clinical interpretation; change detection in longitudinal studies; brain shift modeling to improve anatomic localization in neurosurgical procedures; cardiac motion quanti?cation; construction of probabilistic atlases of organ structure and function; and large-scale phenotyping in animal models. WBIR was conceived to provide the burgeoning community of investigators in biomedical image registration an opportunity to share, discuss and stimulate developments in registration research and application at a meeting exclusively devoted to the topic. The format of this year’s workshop consisted of invited talks, author presentations and ample opportunities for discussion, the latter including an elegant reception and dinner hosted at the Mutter ̈ Museum. A representation of the best work in the ?eld, selected by peer review from full manuscripts,waspresentedinsingle-tracksessions. Thepapers,whichaddressed the full diversity of registration topics, are reproduced in this volume, along with enlightening essays by some of the invited speakers.
matlab imregister: Biomedical Image Registration Bernd Fischer, Benoit Dawant, Cristian Lorenz, 2010-07-05 Welcome to the proceedings of the 4th Workshop on Biomedical Image R- istration (WBIR). Previous WBIRs took place in Bled, Slovenia (1999), at the UniversityofPennsylvania,USA(2003)andinUtrecht,TheNetherlands(2006). This year, WBIR was hosted by the Institute Mathematics and Image Proce- ing and the Fraunhofer Project Group on Image Registration and it was held in Lub ̈ eck, Germany. It provided the opportunity to bring together researchers from all over the world to discuss some of the most recent advances in image registration and its applications. We had an excellent collection of papers that were reviewed by at least three reviewers each from a 35-member Program Committee assembled from a wor- wide community of registration experts. This year 17 papers were accepted for oral presentation, while another 7 papers were accepted as poster papers. We believe all of the conference papers were of excellent quality. Registration is a fundamental task in image processing used to match two or more pictures taken, for example, at di?erent times, from di?erent sensors, or from di?erent viewpoints. Establishing the correspondence of structures within medical images is fundamental to diagnosis, treatment planning, and surgical guidance. The conference papers address state-of-the-art techniques for prov- ing reliable and e?cient registration techniques, thereby imposing relationships between speci?c application areas and appropriate registration schemes. We are grateful to all those who contributed to the success of WBIR 2010.
matlab imregister: Biomedical Image Registration Benoit Dawant, Gary E Christensen, J. Michael Fitzpatrick, Daniel Rueckert, 2012-06-24 This book constitutes the refereed proceedings of the 5th International Workshop on Biomedical Image Registration, WBIR 2012, held in Nashville, Tennessee, USA, in July 2012. The 20 full papers and 11 poster papers included in this volume were carefully reviewed and selected from 44 submitted papers. They full papers are organized in the following topical sections: multiple image sets; brain; non-rigid anatomy; and frameworks and similarity measures.
matlab imregister: Theory and Applications of Image Registration Arthur Ardeshir Goshtasby, 2017-08-21 A hands-on guide to image registration theory and methods—with examples of a wide range of real-world applications Theory and Applications of Image Registration offers comprehensive coverage of feature-based image registration methods. It provides in-depth exploration of an array of fundamental issues, including image orientation detection, similarity measures, feature extraction methods, and elastic transformation functions. Also covered are robust parameter estimation, validation methods, multi-temporal and multi-modality image registration, methods for determining the orientation of an image, methods for identifying locally unique neighborhoods in an image, methods for detecting lines in an image, methods for finding corresponding points and corresponding lines in images, registration of video images to create panoramas, and much more. Theory and Applications of Image Registration provides readers with a practical guide to the theory and underpinning principles. Throughout the book numerous real-world examples are given, illustrating how image registration can be applied to problems in various fields, including biomedicine, remote sensing, and computer vision. Also provided are software routines to help readers develop their image registration skills. Many of the algorithms described in the book have been implemented, and the software packages are made available to the readers of the book on a companion website. In addition, the book: Explores the fundamentals of image registration and provides a comprehensive look at its multi-disciplinary applications Reviews real-world applications of image registration in the fields of biomedical imaging, remote sensing, computer vision, and more Discusses methods in the registration of long videos in target tracking and 3-D reconstruction Addresses key research topics and explores potential solutions to a number of open problems in image registration Includes a companion website featuring fully implemented algorithms and image registration software for hands-on learning Theory and Applications of Image Registration is a valuable resource for researchers and professionals working in industry and government agencies where image registration techniques are routinely employed. It is also an excellent supplementary text for graduate students in computer science, electrical engineering, software engineering, and medical physics.
matlab imregister: Image Registration for Remote Sensing Jacqueline Le Moigne, Nathan S. Netanyahu, Roger D. Eastman, 2011-03-24 This book provides a summary of current research in the application of image registration to satellite imagery. Presenting algorithms for creating mosaics and tracking changes on the planet's surface over time, it is an indispensable resource for researchers and advanced students in Earth and space science, and image processing.
matlab imregister: Pharmacoinformatics Real-World Applications in Pharmacy and Medicine Mr. PRAKASH NATHANIEL KUMAR SARELLA, Dr. AVERINENI RAVI KUMAR, Ms. GOLLA VENKATA SOWMYASREE , Dr. PAMIDI LAKSHMI PRASANNA, Dr. SOUJANYA AKKINENI, Mrs. CHOLLANGI BHARGHAVI, Dr. JAYA VASAVI GURRALA, Dr. MEENAKSHI TYAGI, Dr. V. RAKSHANA, Dr. SYED AFZAL UDDIN BIYABANI, 2024-09-09 This book, Pharmacoinformatics: Real-World Applications in Pharmacy and Medicine is designed to bridge the gap between medicine and computer science by providing a practical and accessible introduction to programming languages and techniques specifically tailored to the needs of healthcare professionals. Whether you are a student, a practicing pharmacist, a physician, or any other healthcare professional, this book aims to equip you with the fundamental programming skills and domain-specific knowledge required to tackle real-world challenges in healthcare
matlab imregister: Multi-Sensor Data Fusion with MATLAB Jitendra R. Raol, 2009-12-16 Using MATLAB examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly
matlab imregister: Image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy Said, Sarah, 2024-08-07 This work proposes a novel method for a matching tool between MRI and spot mammograms. Two registration methods are used : a biomechanical model based registration between MRI and full X-ray mammograms, followed by an image based registration between full and spot mammograms. The proposed methods have been tested using 51 patients from the Medical University of Vienna. For the analyzed dataset, the proposed methods showed not only promising results but also the feasibility of clinical use.
matlab imregister: Computational Intelligence, Communications, and Business Analytics J. K. Mandal, Paramartha Dutta, Somnath Mukhopadhyay, 2017-10-01 The two volume set CCIS 775 and 776 constitutes the refereed proceedings of the First International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2017, held in Kolkata, India, in March 2017. The 90 revised full papers presented in the two volumes were carefully reviewed and selected from 276 submissions. The papers are organized in topical sections on data science and advanced data analytics; signal processing and communications; microelectronics, sensors, intelligent networks; computational forensics (privacy and security); computational intelligence in bio-computing; computational intelligence in mobile and quantum computing; intelligent data mining and data warehousing; computational intelligence.
matlab imregister: Advances in Applied Mechanics , 2022-11-04 Advances in Applied Mechanics, Volume 55 in this ongoing series, highlights new advances in the field, with this new volume presenting interesting chapters on topics such as Towards stochastic multi-scale methods in continuum solid mechanics, Fracture in soft elastic materials: Continuum description, molecular aspects and applications, Bio-Chemo-Mechanical Coupling Models of Soft Biological Materials: A Review, Viscoelasticity and cell swirling motion, Model selection and sensitivity analysis in the biomechanics of soft tissues: A case study on the human knee meniscus, Oncology and mechanics: Landmark studies and promising clinical. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Advances in Applied Mechanics series - Edited by some of the best scientists in the field
matlab imregister: Biomedical Image Registration Stefan Klein, Marius Staring, Stanley Durrleman, Stefan Sommer, 2018-06-06 This book constitutes the refereed proceedings of the 8th International Workshop on Biomedical Image Registration, WBIR 2018, held in Leiden, The Netherlands, in June 2018. The 11 full and poster papers included in this volume were carefully reviewed and selected from 17 submitted papers. The papers are organized in the following topical sections: Sliding Motion, Groupwise Registration, Acceleration, and Applications and Evaluation.
matlab imregister: Advances in Intelligent Computing J. K. Mandal, Paramartha Dutta, Somnath Mukhopadhyay, 2018-05-18 This edited volume on computational intelligence algorithms-based applications includes work presented at the International Conference on Computational Intelligence, Communications, and Business Analytics (CICBA 2017). It provides the latest research findings on the significance of computational intelligence and related application areas. It also introduces various computation platforms involving evolutionary algorithms, fuzzy logic, swarm intelligence, artificial neural networks and several other tools for solving real-world problems. It also discusses various tools that are hybrids of more than one solution framework, highlighting the theoretical aspects as well as various real-world applications.
matlab imregister: Biomedical Image Registration Alessa Hering, Julia Schnabel, Miaomiao Zhang, Enzo Ferrante, Mattias Heinrich, Daniel Rueckert, 2022-07-08 This book constitutes the refereed proceedings of the 10th International Workshop on Biomedical Image Registration, WBIR 2020, which was supposed to be held in Munich, Germany, in July 2022. The 11 full and poster papers together with 17 short papers included in this volume were carefully reviewed and selected from 32 submitted papers. The papers are organized in the following topical sections: optimization, deep learning architectures, neuroimaging, diffeomorphisms, uncertainty, topology and metrics.
matlab imregister: Introduction to Subsurface Imaging Bahaa Saleh, 2011-03-17 Describing and evaluating the basic principles and methods of subsurface sensing and imaging, Introduction to Subsurface Imaging is a clear and comprehensive treatment that links theory to a wide range of real-world applications in medicine, biology, security and geophysical/environmental exploration. It integrates the different sensing techniques (acoustic, electric, electromagnetic, optical, x-ray or particle beams) by unifying the underlying physical and mathematical similarities, and computational and algorithmic methods. Time-domain, spectral and multisensor methods are also covered, whilst all the necessary mathematical, statistical and linear systems tools are given in useful appendices to make the book self-contained. Featuring a logical blend of theory and applications, a wealth of color illustrations, homework problems and numerous case studies, this is suitable for use as both a course text and as a professional reference.
matlab imregister: Biomedical Image Registration Boštjan Likar, 2006-06-30 This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Biomedical Image Registration. The 20 revised full papers and 18 revised poster papers presented were carefully reviewed and selected for inclusion in the book. The papers cover all areas of biomedical image registration; methods of registration, biomedical applications, and validation of registration.
matlab imregister: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz, 2020-10-03 The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: segmentation; shape models and landmark detection Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography
matlab imregister: Biomedical Image Registration Žiga Špiclin, Jamie McClelland, Jan Kybic, Orcun Goksel, 2020-06-09 This book constitutes the refereed proceedings of the 9th International Workshop on Biomedical Image Registration, WBIR 2020, which was supposed to be held in Portorož, Slovenia, in June 2020. The conference was postponed until December 2020 due to the COVID-19 pandemic. The 16 full and poster papers included in this volume were carefully reviewed and selected from 22 submitted papers. The papers are organized in the following topical sections: Registration initialization and acceleration, interventional registration, landmark based registration, multi-channel registration, and sliding motion.
matlab imregister: Applied Technologies Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic, 2020-03-02 This second volume of the three-volume set (CCIS 1193, CCIS 1194, and CCIS 1195) constitutes the refereed proceedings of the First International Conference on Applied Technologies, ICAT 2019, held in Quito, Ecuador, in December 2019. The 124 full papers were carefully reviewed and selected from 328 submissions. The papers are organized according to the following topics: technology trends; computing; intelligent systems; machine vision; security; communication; electronics; e-learning; e-government; e-participation.
matlab imregister: XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016 Efthyvoulos Kyriacou, Stelios Christofides, Constantinos S. Pattichis, 2016-03-31 This volume presents the proceedings of Medicon 2016, held in Paphos, Cyprus. Medicon 2016 is the XIV in the series of regional meetings of the International Federation of Medical and Biological Engineering (IFMBE) in the Mediterranean. The goal of Medicon 2016 is to provide updated information on the state of the art on Medical and Biological Engineering and Computing under the main theme “Systems Medicine for the Delivery of Better Healthcare Services”. Medical and Biological Engineering and Computing cover complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems. Research and development in these areas are impacting the science and technology by advancing fundamental concepts in translational medicine, by helping us understand human physiology and function at multiple levels, by improving tools and techniques for the detection, prevention and treatment of disease. Medicon 2016 provides a common platform for the cross fertilization of ideas, and to help shape knowledge and scientific achievements by bridging complementary disciplines into an interactive and attractive forum under the special theme of the conference that is Systems Medicine for the Delivery of Better Healthcare Services. The programme consists of some 290 invited and submitted papers on new developments around the Conference theme, presented in 3 plenary sessions, 29 parallel scientific sessions and 12 special sessions.
matlab imregister: Biomedical Image Registration Sebastien Ourselin, Marc Modat, 2014-06-05 This book constitutes the refereed proceedings of the 6th International Workshop on Biomedical Image Registration, WBIR 2014, held in London, UK, in July 2014. The 16 full papers and 8 poster papers included in this volume were carefully reviewed and selected from numerous submitted papers. The full papers are organized in the following topical sections: computational efficiency, model based regularisation, optimisation, reconstruction, interventional application and application specific measures of similarity.
matlab imregister: Image Fusion H.B. Mitchell, 2010-03-16 The purpose of this book is to provide a practical introduction to the th- ries, techniques and applications of image fusion. The present work has been designed as a textbook for a one-semester ?nal-year undergraduate, or ?r- year graduate, course in image fusion. It should also be useful to practising engineers who wish to learn the concepts of image fusion and apply them to practical applications. In addition, the book may also be used as a supp- mentary text for a graduate course on topics in advanced image processing. The book complements the author’s previous work on multi-sensor data [1] fusion by concentrating exclusively on the theories, techniques and app- cations of image fusion. The book is intended to be self-contained in so far as the subject of image fusion is concerned, although some prior exposure to the ?eld of computer vision and image processing may be helpful to the reader. Apart from two preliminary chapters, the book is divided into three parts.
matlab imregister: Correlative Imaging Paul Verkade, Lucy Collinson, 2019-09-04 Brings a fresh point of view to the current state of correlative imaging and the future of the field This book provides contributions from international experts on correlative imaging, describing their vision of future developments in the field based on where it is today. Starting with a brief historical overview of how the field evolved, it presents the latest developments in microscopy that facilitate the correlative workflow. It also discusses the need for an ideal correlative probe, applications in proteomic and elemental analysis, interpretation methods, and how correlative imaging can incorporate force microscopy, soft x-ray tomography, and volume electron microscopy techniques. Work on placing individual molecules within cells is also featured. Correlative Imaging: Focusing on the Future offers in-depth chapters on: correlative imaging from an LM perspective; the importance of sample processing for correlative imaging; correlative light and volume EM; correlation with scanning probe microscopies; and integrated microscopy. It looks at: cryo-correlative microscopy; correlative cryo soft X-ray imaging; and array tomography. Hydrated-state correlative imaging in vacuo, correlating data from different imaging modalities, and big data in correlative imaging are also considered. Brings a fresh view to one of the hottest topics within the imaging community: the correlative imaging field Discusses current research and offers expert thoughts on the field’s future developments Presented by internationally-recognized editors and contributors with extensive experience in research and applications Of interest to scientists working in the fields of imaging, structural biology, cell biology, developmental biology, neurobiology, cancer biology, infection and immunity, biomaterials and biomedicine Part of the Wiley–Royal Microscopical Society series Correlative Imaging: Focusing on the Future will appeal to those working in the expanding field of the biosciences, correlative microscopy and related microscopic areas. It will also benefit graduate students working in microscopy, as well as anyone working in the microscopy imaging field in biomedical research.
matlab imregister: Chromosome Architecture Mark C. Leake, 2022-05-30 This detailed new edition collects cutting-edge laboratory protocols, techniques, and applications in use by some of the leading international experts in the broad field of chromosome architecture. The book emphasizes the increasing physiological relevance of chromosome architecture investigation, manifest both through application of more complex bottom-up assays in vitro as well as through maintaining the native physiological context through the investigation of living, functional cells. In addition, the chapters reflect the dramatic improvement in the length scale of precision by utilizing single-molecule approaches, both for imaging the DNA content of chromosome and proteins that bind to DNA as well as using methods that can controllably manipulate single DNA molecules, and the use of advanced computational methods and mathematical analysis is also featured. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and up-to-date, Chromosome Architecture: Methods and Protocols, Second Edition is an ideal guide for researchers working in this dynamic area of study.
matlab imregister: Digital Signal Processing with Matlab Examples, Volume 2 Jose Maria Giron-Sierra, 2016-12-02 This is the second volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs. This second book focuses on recent developments in response to the demands of new digital technologies. It is divided into two parts: the first part includes four chapters on the decomposition and recovery of signals, with special emphasis on images. In turn, the second part includes three chapters and addresses important data-based actions, such as adaptive filtering, experimental modeling, and classification.
matlab imregister: Basic Science of PET Imaging Magdy M. Khalil, 2016-11-07 This book offers a wide-ranging and up-to-date overview of the basic science underlying PET and its preclinical and clinical applications in modern medicine. In addition, it provides the reader with a sound understanding of the scientific principles and use of PET in routine practice and biomedical imaging research. The opening sections address the fundamental physics, radiation safety, CT scanning dosimetry, and dosimetry of PET radiotracers, chemistry and regulation of PET radiopharmaceuticals, with information on labeling strategies, tracer quality control, and regulation of radiopharmaceutical production in Europe and the United States. PET physics and instrumentation are then discussed, covering the basic principles of PET and PET scanning systems, hybrid PET/CT and PET/MR imaging, system calibration, acceptance testing, and quality control. Subsequent sections focus on image reconstruction, processing, and quantitation in PET and hybrid PET and on imaging artifacts and correction techniques, with particular attention to partial volume correction and motion artifacts. The book closes by examining clinical applications of PET and hybrid PET and their physiological and/or molecular basis in conjunction with technical foundations in the disciplines of oncology, cardiology and neurology, PET in pediatric malignancy and its role in radiotherapy treatment planning. Basic Science of PET Imaging will meet the needs of nuclear medicine practitioners, other radiology specialists, and trainees in these fields.
matlab imregister: Third International Conference on Image Processing and Capsule Networks Joy Iong-Zong Chen, João Manuel R. S. Tavares, Fuqian Shi, 2022-07-28 This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations. Image processing technology has progressed significantly in recent years, and it has been commercialized worldwide to provide superior performance with enhanced computer/machine vision, video processing, and pattern recognition capabilities. Meanwhile, machine learning systems like CNN and CapsNet get popular to provide better model hierarchical relationships and attempts to more closely mimic biological neural organization. As machine learning systems prosper, image processing and machine learning techniques will be tightly intertwined and continuously promote each other in real-world settings. Adopting this trend, however, the image processing researchers are faced with few image reconstruction, analysis, and segmentation challenges. On the application side, the orientation of the image features and noise removal has become a huge burden.
matlab imregister: Computational and Experimental Biomedical Sciences: Methods and Applications João Manuel R. S. Tavares, R.M. Natal Jorge, 2015-03-16 This book contains the full papers presented at ICCEBS 2013 – the 1st International Conference on Computational and Experimental Biomedical Sciences, which was organized in Azores, in October 2013. The included papers present and discuss new trends in those fields, using several methods and techniques, including active shape models, constitutive models, isogeometric elements, genetic algorithms, level sets, material models, neural networks, optimization and the finite element method, in order to address more efficiently different and timely applications involving biofluids, computer simulation, computational biomechanics, image based diagnosis, image processing and analysis, image segmentation, image registration, scaffolds, simulation and surgical planning. The main audience for this book consists of researchers, Ph.D students and graduate students with multidisciplinary interests related to the areas of artificial intelligence, bioengineering, biology, biomechanics, computational fluid dynamics, computational mechanics, computational vision, histology, human motion, imagiology, applied mathematics, medical image, medicine, orthopaedics, rehabilitation, speech production and tissue engineering.
matlab imregister: Information Technology and Intelligent Transportation Systems L.C. Jain, X. Zhao, V.E. Balas, 2020-03-18 Intelligent transport systems, from basic management systems to more application-oriented systems, vary in the technologies they apply. Information technologies, including wireless communication, are important in intelligent transportation systems, as are computational technologies: floating car data/floating cellular data, sensing technologies, and video vehicle detection. Theoretical and application technologies, such as emergency vehicle notification systems, automatic road enforcement and collision avoidance systems, as well as some cooperative systems are also used in intelligent transportation systems. This book presents papers selected from the 128 submissions in the field of information technology and intelligent transportation systems received from 5 countries. In December 2019 Chang’an University organized a round-table meeting to discuss and score the technical merits of each selected paper, of which 23 are included in this book. Providing a current overview of the subject, the book will be of interest to all those working in the field of intelligent transportation systems and traffic management.
matlab imregister: Biosignal and Medical Image Processing John L. Semmlow, Benjamin Griffel, 2021-10-01 Written specifically for biomedical engineers, Biosignal and Medical Image Processing, Third Edition provides a complete set of signal and image processing tools, including diagnostic decision-making tools, and classification methods. Thoroughly revised and updated, it supplies important new material on nonlinear methods for describing and classify
matlab imregister: Computer-Aided Oral and Maxillofacial Surgery Jan Egger, Xiaojun Chen, 2021-04-29 Computer-Aided Oral and Maxillofacial Surgery: Developments, Applications, and Future Perspectives is an ideal resource for biomedical engineers and computer scientists, clinicians and clinical researchers looking for an understanding on the latest technologies applied to oral and maxillofacial surgery. In facial surgery, computer-aided decisions supplement all kind of treatment stages, from a diagnosis to follow-up examinations. This book gives an in-depth overview of state-of-the-art technologies, such as deep learning, augmented reality, virtual reality and intraoperative navigation, as applied to oral and maxillofacial surgery. It covers applications of facial surgery that are at the interface between medicine and computer science. Examples include the automatic segmentation and registration of anatomical and pathological structures, like tumors in the facial area, intraoperative navigation in facial surgery and its recent developments and challenges for treatments like zygomatic implant placement. - Provides comprehensive, state-of-the-art knowledge of interdisciplinary applications in facial surgery - Presents recent algorithmic developments like Deep Learning, along with recent devices in augmented reality and virtual reality - Includes clinical knowledge of two facials surgeons who give insights into the current clinical practice and challenges of facial surgeons in university hospitals in Austria and China
matlab imregister: Current and Future Role of Artificial Intelligence in Cardiac Imaging, Volume II Steffen Erhard Petersen, Alistair A. Young, Tim Leiner, Karim Lekadir, 2023-10-30 Our first Research Topic entitled “Current and Future Role of Artificial Intelligence in Cardiac Imaging” provided comprehensive reviews of the recent advances and potential impact of AI for a range of cardiac imaging applications and remains available as an e-book to download at no cost. Since this first set of publications, the field has moved at pace and it is timely to now invite further up-to-date and topical reviews but importantly original research articles via our Research Topic “Current and Future Role of Artificial Intelligence in Cardiac Imaging 2.0”.