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Handbook of Biomedical Image Analysis

Volume 1: Segmentation Models Part A

  • Book
  • © 2005

Overview

Editors:
  1. Jasjit S. Suri

    1. Department of Biomedical Engineering, Case Western Reserve University, Cleveland

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    You can also search for this editor in PubMed   Google Scholar

  2. David L. Wilson

    1. Department of Biomedical Engineering, Case Western Reserve University, Cleveland

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    You can also search for this editor in PubMed   Google Scholar

  3. Swamy Laxminarayan

    1. Institute of Rural Health, Idaho State University, Pocatello

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  • First time a work is being written which covers the role of image segmentation and image registration together
  • Three-volume sets constitutes a real system for effective use in biomedical applications therapy, whether theory (the student) or application (the professional)
  • Exclusively discusses the latest segmentation models applied to different body imaging and using different biomedical imaging modalities
  • Have diagnostic systems using jointly the segmentation and registration algorithms

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xviii
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  2. A Basic Model for IVUS Image Simulation

    • Misael Rosales, Petia Radeva
    Pages 1-55

  3. Quantitative Functional Imaging with Positron Emission Tomography: Principles and Instrumentation

    • Koon-Pong Wong
    Pages 57-116

  4. Advances in Magnetic Resonance Angiography and Physical Principles

    • Rakesh Sharma, Avdhesh Sharma
    Pages 117-199

  5. Recent Advances in the Level Set Method

    • David Chopp
    Pages 201-256

  6. Shape From Shading Models

    • Xiaoping Shen, Lin Yang
    Pages 257-304

  7. Wavelets in Medical Image Processing: Denoising, Segmentation, and Registration

    • Yinpeng Jin, Elsa Angelini, Andrew Laine
    Pages 305-358

  8. Improving the Initialization, Convergence, and Memory Utilization for Deformable Models

    • Gilson A. Giraldi, Paulo S. Rodrigues, Leandro S. Marturelli, Rodrigo L. S. Silva
    Pages 359-414

  9. Level Set Segmentation of Biological Volume Datasets

    • David Breen, Ross Whitaker, Ken Museth, Leonid Zhukov
    Pages 415-478

  10. Advanced Segmentation Techniques

    • Aly A. Farag, Mohamed N. Ahmed, Ayman El-Baz, Hossam Hassan
    Pages 479-533

  11. A Region-Aided Color Geometric Snake

    • Xianghua Xie, Majid Mirmehdi
    Pages 535-581

  12. Co-Volume Level Set Method in Subjective Surface Based Medical Image Segmentation

    • Karol Mikula, Alessandro Sarti, Fiorella Sgallari
    Pages 583-626

  13. Back Matter

    Pages 627-648
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Keywords

About this book

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

Editors and Affiliations

  • Department of Biomedical Engineering, Case Western Reserve University, Cleveland

    Jasjit S. Suri, David L. Wilson

  • Institute of Rural Health, Idaho State University, Pocatello

    Swamy Laxminarayan

About the editors

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.

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