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Image registration is the process of finding correspondence between all points in two images of a scene – a process with numerous applications in computer vision and image analysis. This comprehensive text/reference presents a thorough and detailed guide to image registration, outlining the principles and reviewing state-of-the-art tools and methods. The book begins by identifying the components of a general image registration system, and then describes the design of each component using various image analysis tools. The text reviews a vast array of tools and methods, not only describing the principles behind each tool and method, but also measuring and comparing their performances using synthetic and real data. Topics and features: Discusses a broad range of image analysis tools, including similarity/dissimilarity measures, point detectors, feature extraction and homogeneous descriptors, and feature selection and heterogeneous descriptors Examines robust estimators, point pattern matching algorithms, transformation functions, and image resampling and blending Covers a large number of image registration methods, such as principal axes methods, hierarchical methods, optimization-based methods, edge-based methods, model-based methods, and adaptive methods Provides all images and data used in the book at the website http://www.imgfsr.com/book2.html, enabling the reader to reproduce the results Includes a glossary, an extensive list of references, and an appendix on principal component analysis An excellent reference for courses on image registration, image processing, computer vision, pattern recognition, and image analysis, this unique text/guide is also suitable for image analysis software developers, engineers, and researchers interested in analyzing two or more images of a scene.

Image registration. --- Engineering & Applied Sciences --- Applied Physics --- Alignment, Image --- Coregistration, Image --- Image alignment --- Image coregistration --- Image matching --- Matching, Image --- Registration, Image --- Computer science. --- Image processing. --- Pattern recognition. --- Computer Science. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Informatics --- Science --- Image processing --- Digital techniques --- Computer vision. --- Optical pattern recognition. --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment --- Image registration

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This book focuses on novel approaches for thoracic computed tomography (CT) image registration and determination of respiratory motion models in a range of patient scenarios. It discusses the use of image registration processes to remove the inconsistencies between medical images acquired using different devices. In the context of comparative research and medical analysis, these methods are of immense value in image registration procedures, not just for thoracic CT images, but for all types of medical images in multiple modalities, and also in establishing a mean respiration motion model. Combined with advanced techniques, the methods proposed have the potential to advance the field of computer vision and help improve existing methods. The book is a valuable resource for those in the scientific community involved in modeling respiratory motion for a large number of people. .

Image registration. --- Alignment, Image --- Coregistration, Image --- Image alignment --- Image coregistration --- Image matching --- Matching, Image --- Registration, Image --- Image processing --- Digital techniques --- Optical data processing. --- Pattern recognition. --- Radiology. --- Bioinformatics . --- Computational biology . --- Health informatics. --- Computer graphics. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Imaging / Radiology. --- Computer Appl. in Life Sciences. --- Health Informatics. --- Computer Graphics. --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Biology --- Bioinformatics --- Bio-informatics --- Biological informatics --- Computational biology --- Systems biology --- Radiological physics --- Physics --- Radiation --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Data processing --- Optical equipment

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The three-volume set LNCS 6891, 6892 and 6893 constitutes the refereed proceedings of the 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011, held in Toronto, Canada, in September 2011. Based on rigorous peer reviews, the program committee carefully selected 251 revised papers from 819 submissions for presentation in three volumes. The third volume includes 82 papers organized in topical sections on computer-aided diagnosis and machine learning, and segmentation.

Engineering & Applied Sciences --- Medicine --- Health & Biological Sciences --- Medical & Biomedical Informatics --- Applied Physics --- Three-dimensional imaging in medicine --- Image processing --- Image registration --- Digital techniques --- Alignment, Image --- Coregistration, Image --- Image alignment --- Image coregistration --- Image matching --- Matching, Image --- Registration, Image --- Computer science. --- Health informatics. --- Radiology. --- Artificial intelligence. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Computer Graphics. --- Artificial Intelligence (incl. Robotics). --- Imaging / Radiology. --- Health Informatics. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Radiological physics --- Physics --- Radiation --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Informatics --- Science --- Data processing --- Computer vision. --- Optical pattern recognition. --- Radiology, Medical. --- Medical records --- Artificial Intelligence. --- Data processing. --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Clinical radiology --- Radiology, Medical --- Radiology (Medicine) --- Medical physics --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Medical care --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment

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Various applications in the field of pulmonary image analysis require a registration of CT images of the lung. For example, a registration-based estimation of the breathing motion is employed to increase the accuracy of dose distribution in radiotherapy. Alexander Schmidt-Richberg develops methods to explicitly model morphological and physiological knowledge about respiration in algorithms for the registration of thoracic CT images. The author focusses on two lung-specific issues: on the one hand, the alignment of the interlobular fissures and on the other hand, the estimation of sliding motion at the lung boundaries. He shows that by explicitly considering these aspects based on a segmentation of the respective structure, registration accuracy can be significantly improved.   Contents ·         Registration ·         Segmentation ·         Level Set Segmentation ·         Motion Estimation ·         Sliding Motion ·         Integrated Registration and Segmentation   Target Groups ·         Researchers and students of medical informatics, medical imaging ·         Radiologists, physicians     The Author Alexander Schmidt-Richberg works as a research scientist with a focus on image registration and segmentation. He received his PhD at the Institute of Medical Informatics, University of Lübeck, Germany, in 2013. Currently, he is a member of the Biomedical Image Analysis Group, Imperial College London, UK.   Editors The series Aktuelle Forschung Medizintechnik is edited by Thorsten Buzug.

Image analysis -- Mathematical models. --- Image registration. --- Lungs -- Diseases -- Diagnosis. --- Lungs -- Tomography. --- Lungs --- Image registration --- Image analysis --- Tomography, X-Ray Computed --- Diagnosis, Computer-Assisted --- Diagnostic Imaging --- Imaging, Three-Dimensional --- Investigative Techniques --- Respiratory System --- Tomography, X-Ray --- Radiographic Image Enhancement --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Anatomy --- Decision Making, Computer-Assisted --- Diagnostic Techniques and Procedures --- Diagnosis --- Medical Informatics Applications --- Tomography --- Medical Informatics --- Information Science --- Radiography --- Four-Dimensional Computed Tomography --- Models, Theoretical --- Image Interpretation, Computer-Assisted --- Lung --- Methods --- Medicine --- Health & Biological Sciences --- Respiratory System Diseases --- Mathematical models --- Tomography. --- Mathematical models. --- Analysis of images --- Image interpretation --- Alignment, Image --- Coregistration, Image --- Image alignment --- Image coregistration --- Image matching --- Matching, Image --- Registration, Image --- Computer science. --- Health informatics. --- Computer Science. --- Computer Science, general. --- Health Informatics. --- Imaging systems --- Image processing --- Cardiopulmonary system --- Chest --- Respiratory organs --- Digital techniques --- Medical records --- Data processing. --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Informatics --- Science --- Medical care --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Data processing

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The three-volume set LNCS 6891, 6892 and 6893 constitutes the refereed proceedings of the 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011, held in Toronto, Canada, in September 2011. Based on rigorous peer reviews, the program committee carefully selected 251 revised papers from 819 submissions for presentation in three volumes. The second volume includes 83 papers organized in topical sections on diffusion weighted imaging, fMRI, statistical analysis and shape modeling, and registration.

Engineering & Applied Sciences --- Medicine --- Health & Biological Sciences --- Applied Physics --- Medical & Biomedical Informatics --- Three-dimensional imaging in medicine --- Image processing --- Image registration --- Digital techniques --- Alignment, Image --- Coregistration, Image --- Image alignment --- Image coregistration --- Image matching --- Matching, Image --- Registration, Image --- Computer science. --- Health informatics. --- Radiology. --- Artificial intelligence. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Computer Graphics. --- Artificial Intelligence (incl. Robotics). --- Imaging / Radiology. --- Health Informatics. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Radiological physics --- Physics --- Radiation --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Informatics --- Science --- Data processing --- Computer vision. --- Optical pattern recognition. --- Radiology, Medical. --- Medical records --- Artificial Intelligence. --- Data processing. --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Clinical radiology --- Radiology, Medical --- Radiology (Medicine) --- Medical physics --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Medical care --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment