Handbook of Biomedical Image Analysis (eBook, PDF)

Volume 1: Segmentation Models Part A

• Format: PDF

Produktbeschreibung

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

Produktdetails

• Verlag: Springer US
• Erscheinungstermin: 28. Oktober 2006
• Englisch
• ISBN-13: 9780306485510
• Artikelnr.: 37288518

Autorenporträt

Jasjit Suri, Ph.D. has spent the last 20 years in the field of computer and electrical engineering, and more than a decade in imaging sciences. Dr. Suri has a masters in computer sciences from the University of Illinois, a doctorate from the University of Washington, Seattle, and will soon receive his EMBA from the Weatherhead School of Management at Case Western Reserve University, Cleveland, Ohio. Dr. Suri has published over 100 technical publications in medical imaging, is a senior member of IEEE, member of the engineering honor societies Eta-Kappa-Nu and Tau-Beta-Phi, and a recipient of the President's Gold Medal in 1980. Prof. Swamy Laxminarayan, D.Sci. championed the field of Biomedical Engineering for over 30 years having held a variety of senior positions within the industry. He is an internationally recognized scientist, engineer, and educator with over 200 technical publications in biomedical information technology, computation biology, signal and image processing, biotechnology, and physiological system modeling. Prof. Laxminarayan is a fellow of AIMBE and a recipient of IEEE 3rd Millennium Medal.

Inhaltsangabe

A Basic Model for IVUS Image Simulation.- Quantitative Functional Imaging with Positron Emission Tomography: Principles and Instrumentation.- Advances in Magnetic Resonance Angiography and Physical Principles.- Recent Advances in the Level Set Method.- Shape From Shading Models.- Wavelets in Medical Image Processing: Denoising, Segmentation, and Registration.- Improving the Initialization, Convergence, and Memory Utilization for Deformable Models.- Level Set Segmentation of Biological Volume Datasets.- Advanced Segmentation Techniques.- A Region-Aided Color Geometric Snake.- Co-Volume Level Set Method in Subjective Surface Based Medical Image Segmentation.

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Medical Image Registration: Theory, Algorithm, and Case Studies in Surgical Simulation, Chest Cancer, and Multiple Sclerosis.- State of the Art of Level Set Methods in Segmentation and Registration of Medical Imaging Modalities.- Three-Dimensional Rigid and Non-Rigid Image Registration for the Pelvis and Prostate.- Stereo and Temporal Retinal Image Registration by Mutual Information Maximization.- Quantification of Brain Aneurysm Dimensions from CTA for Surgical Planning of Coiling Interventions.- Inverse Consistent Image Registration.- A Computer-Aided Design System for Segmentation of Volumetric Images.- Inter-Subject Non-Rigid Registration: An Overview with Classification and the Romeo Algorithm.- Elastic Registration for Biomedical Applications.- Cross-Entropy, Reversed Cross-Entropy, and Symmetric Divergence Similarity Measures for 3D Image Registration: A Comparative Study.- Quo Vadis, Atlas-Based Segmentation?.- Deformable Image Registration with Hyperelastic Warping.- Future of Image Registration.