Medical Image Segmentation Using Deformable Models
Author | : Luomin Gao |
Publisher | : |
Total Pages | : 152 |
Release | : 1997 |
Genre | : |
ISBN | : |
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Author | : Luomin Gao |
Publisher | : |
Total Pages | : 152 |
Release | : 1997 |
Genre | : |
ISBN | : |
Author | : Robert Sadacca |
Publisher | : |
Total Pages | : 40 |
Release | : 1962 |
Genre | : Image analysis |
ISBN | : |
Author | : Ajit Singh |
Publisher | : Institute of Electrical & Electronics Engineers(IEEE) |
Total Pages | : 0 |
Release | : 1998 |
Genre | : Biological models |
ISBN | : 9780818685217 |
Deformable models are a powerful, physics-based technique for representing, reconstructing, recognizing and manipulating nonrigid curves, surfaces and solids from their images and image sequence. As noninvasive medical imaging technologies continue their rapid development, techniques for reconstructing three-dimensional deformable models are becoming increasingly important in the medical field. Deformable Models in Medical Image Analysis focuses on the theoretical and practical aspects of deformable models. The book concentrates on recent developments in novel deformable modelling techniques and on the use of medical images to illustrate the capabilities of their algorithms. The first part of the text is devoted to the theoretical background of deformable models and illustrates their general applicability to medical imaging. The second part deals with segmentation and reconstruction. The final part concentrates on motion analysis and tracking.
Author | : Isaac Bankman |
Publisher | : Elsevier |
Total Pages | : 1009 |
Release | : 2008-12-24 |
Genre | : Computers |
ISBN | : 008055914X |
The Handbook of Medical Image Processing and Analysis is a comprehensive compilation of concepts and techniques used for processing and analyzing medical images after they have been generated or digitized. The Handbook is organized into six sections that relate to the main functions: enhancement, segmentation, quantification, registration, visualization, and compression, storage and communication.The second edition is extensively revised and updated throughout, reflecting new technology and research, and includes new chapters on: higher order statistics for tissue segmentation; tumor growth modeling in oncological image analysis; analysis of cell nuclear features in fluorescence microscopy images; imaging and communication in medical and public health informatics; and dynamic mammogram retrieval from web-based image libraries.For those looking to explore advanced concepts and access essential information, this second edition of Handbook of Medical Image Processing and Analysis is an invaluable resource. It remains the most complete single volume reference for biomedical engineers, researchers, professionals and those working in medical imaging and medical image processing.Dr. Isaac N. Bankman is the supervisor of a group that specializes on imaging, laser and sensor systems, modeling, algorithms and testing at the Johns Hopkins University Applied Physics Laboratory. He received his BSc degree in Electrical Engineering from Bogazici University, Turkey, in 1977, the MSc degree in Electronics from University of Wales, Britain, in 1979, and a PhD in Biomedical Engineering from the Israel Institute of Technology, Israel, in 1985. He is a member of SPIE. Includes contributions from internationally renowned authors from leading institutions NEW! 35 of 56 chapters have been revised and updated. Additionally, five new chapters have been added on important topics incluling Nonlinear 3D Boundary Detection, Adaptive Algorithms for Cancer Cytological Diagnosis, Dynamic Mammogram Retrieval from Web-Based Image Libraries, Imaging and Communication in Health Informatics and Tumor Growth Modeling in Oncological Image Analysis. Provides a complete collection of algorithms in computer processing of medical images Contains over 60 pages of stunning, four-color images
Author | : Chris Taylor |
Publisher | : Springer Science & Business Media |
Total Pages | : 714 |
Release | : 2003-07-11 |
Genre | : Computers |
ISBN | : 3540405607 |
This book constitutes the refeered proceedings of the 18th Interational Conference on Information Processing in Medical Imaging, IPMI 2003, held in UK, in July 2003. The 57 revised full papers presented were carefully reviewed and selected from submissions. The papers are organized in topical sections shape modeling, shape analysis, segmentation, color, performance characterization, registration and modeling similarity, registration and modeling deformation, cardiac motion, fMRI analysis, and diffusion imaging and tractography.
Author | : Ayman El-Baz |
Publisher | : CRC Press |
Total Pages | : 396 |
Release | : 2019-06-26 |
Genre | : Medical |
ISBN | : 135137303X |
Level set methods are numerical techniques which offer remarkably powerful tools for understanding, analyzing, and computing interface motion in a host of settings. When used for medical imaging analysis and segmentation, the function assigns a label to each pixel or voxel and optimality is defined based on desired imaging properties. This often includes a detection step to extract specific objects via segmentation. This allows for the segmentation and analysis problem to be formulated and solved in a principled way based on well-established mathematical theories. Level set method is a great tool for modeling time varying medical images and enhancement of numerical computations.
Author | : Jocelyne Troccaz |
Publisher | : Springer Science & Business Media |
Total Pages | : 860 |
Release | : 1997-03-05 |
Genre | : Computers |
ISBN | : 9783540627340 |
This book constitutes the refereed proceedings of the First Joint Conference; Computer Vision, Virtual Reality and Robotics in Medicine, CVRMed, and Medical Robotics and Computer-Assisted Surgery, MRCAS, held in Grenoble, France, in March 1997. The volume presents 76 regular revised papers and 16 clinical papers selected from a total of 161 submitted full papers. The volume offers highly innovative and promising research results in computer-assisted medicine and medical informatics. Among the areas covered are medical imaging, virtual reality, medical robotics, and computer-integrated therapy and surgery. The book is of relevance to clinicians, medical engineers, and computer scientists.
Author | : S. Kamaledin Setarehdan |
Publisher | : Springer Science & Business Media |
Total Pages | : 661 |
Release | : 2012-09-07 |
Genre | : Computers |
ISBN | : 0857293338 |
Medical imaging is an important topic and plays a key role in robust diagnosis and patient care. It has experienced an explosive growth over the last few years due to imaging modalities such as X-rays, computed tomography (CT), magnetic resonance (MR) imaging, and ultrasound. This book focuses primarily on model-based segmentation techniques, which are applied to cardiac, brain, breast and microscopic cancer cell imaging. It includes contributions from authors working in industry and academia, and presents new material.
Author | : Joseph V. Hajnal |
Publisher | : CRC Press |
Total Pages | : 394 |
Release | : 2001-06-27 |
Genre | : Medical |
ISBN | : 1420042475 |
Image registration is the process of systematically placing separate images in a common frame of reference so that the information they contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical Image Registration provid
Author | : David Wilson |
Publisher | : Springer Science & Business Media |
Total Pages | : 661 |
Release | : 2006-10-28 |
Genre | : Medical |
ISBN | : 0306485516 |
Handbook of Biomedical Image Analysis: Segmentation Models (Volume I) is dedicated to the segmentation of complex shapes from the field of imaging sciences using different mathematical techniques. This volume is aimed at researchers and educators in imaging sciences, radiological imaging, clinical and diagnostic imaging, physicists covering different medical imaging modalities, as well as researchers in biomedical engineering, applied mathematics, algorithmic development, computer vision, signal processing, computer graphics and multimedia in general, both in academia and industry . Key Features: - Principles of intra-vascular ultrasound (IVUS) - Principles of positron emission tomography (PET) - Physical principles of magnetic resonance angiography (MRA). - Basic and advanced level set methods - Shape for shading method for medical image analysis - Wavelet transforms and other multi-scale analysis functions - Three dimensional deformable surfaces - Level Set application for CT lungs, brain MRI and MRA volume segmentation - Segmentation of incomplete tomographic medical data sets - Subjective level sets for missing boundaries for segmentation