Handbook of Biomedical Image Analysis

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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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

• Biomedical Image Analysis
• algorithms
• biomedical engineering
• computed tomography (CT)
• computer graphics
• image analysis
• image processing
• multimedia
• shading
• simulation
• ultrasound

• 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

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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