Handbook of Biomedical Image Analysis

1. Front Matter

   Pages i-xxii

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2. Model-Based Brain Tissue Classification

   • Koen Van Leemput, Dirk Vandermeulen, Frederik Maes, Siddharth Srivastava, Emiliano D’Agostino, Paul Suetens

   Pages 1-55

3. Supervised Texture Classification for Intravascular Tissue Characterization

   • Oriol Pujol, Petia Radeva

   Pages 57-109

4. Medical Image Segmentation: Methods and Applications in Functional Imaging

   • Koon-Pong Wong

   Pages 111-182

5. Automatic Segmentation of Pancreatic Tumors in Computed Tomography

   • Maria Kallergi, Marla R. Hersh, Anand Manohar

   Pages 183-228

6. Computerized Analysis and Vasodilation Parameterization in Flow-Mediated Dilation Tests from Ultrasonic Image Sequences

   • Alejandro F. Frangi, Martín Laclaustra, Jian Yang

   Pages 229-266

7. Statistical and Adaptive Approaches for Optimal Segmentation in Medical Images

   • Shuyu Yang, Sunanda Mitra

   Pages 267-314

8. Automatic Analysis of Color Fundus Photographs and Its Application to the Diagnosis of Diabetic Retinopathy

   • Thomas Walter, Jean-Claude Klein

   Pages 315-368

9. Segmentation Issues in Carotid Artery Atherosclerotic Plaque Analysis with MRI

   • Dongxiang Xu, Niranjan Balu, William S. Kerwin, Chun Yuan

   Pages 369-450

10. Accurate Lumen Identification, Detection, and Quantification in MR Plaque Volumes

    • Jasjit Suri, Vasanth Pappu, Olivier Salvado, Baowei Fei, Swamy Laxminarayan, Shaoxiong Zhang et al.

    Pages 451-530

11. Hessian-Based Multiscale Enhancement, Description, and Quantification of Second-Order 3-D Local Structures from Medical Volume Data

    • Yoshinobu Sato

    Pages 531-589

12. A Knowledge-Based Scheme for Digital Mammography

    • Sameer Singh, Keir Bovis

    Pages 591-660

13. Simultaneous Fuzzy Segmentation of Medical Images

    • Gabor T. Herman, Bruno M. Carvalho

    Pages 661-705

14. Computer-Aided Diagnosis of Mammographic Calcification Clusters: Impact of Segmentation

    • Maria Kallergi, John J. Heine, Mugdha Tembey

    Pages 707-751

15. Computer-Supported Segmentation of Radiological Data

    • Philippe Cattin, Matthias Harders, Johannes Hug, Raimundo Sierra, Gabor Szekely

    Pages 753-798

16. Back Matter

    Pages 799-816

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Handbook of Biomedical Image Analysis: Segmentation Models (Volume II) is dedicated to the segmentation of complex shapes from the field of imaging sciences using different mathematicaltechniques. 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:

--- Model-based brain tissue classification

--- Supervised texture classification for intravascular tissue characterization

--- Medical image segmentation: methods and applications in functional imaging

--- Automatic segmentation of pancreatic tumors in CT

--- Computerized analysis and vasodilation parameterization in flow-mediated dilation tests from ultrasonic image sequences

--- Adaptive approaches to optical segmentation in brain MRI Images

--- Automatic analysis of color fundus photographs and its application to the diagnosis of diabetic retinopathy

--- Segmentation issues of carotid plaque analysis in MRI

--- Accurate lumen identification, detection, and quantification in MR plaque volumes

--- Hessian-based multiscale enhancement, description, and quantification of second-order 3D local structures from medical volume data

--- A knowledge-based scheme for digital mammography

--- Simultaneous fuzzy segmentation

--- CAD of mammographic calicification: impact of segmentation

About the Editors:

Jasjit Suri, Ph.D. has spent over 20 years in the field of computer and electrical engineering, and more than a decade in imaging sciences. Dr. Suri has a masters degree in computer sciences from the University of Illinois and a doctorate in Electrical Engineering from the University of Washington, Seattle. Dr. Suri has published over 125 technical publications in medical imaging, as well as being a senior member of IEEE and a member of the engineering honor societies Eta-Kappa-Nu and Tau-Beta-Phi, and a recipient of the President's Gold Medal in 1980. He is also a fellow of American Institute of Medical and Biological Engineering.

David Wilson, Ph D. is a Professor of Biomedical Engineering and Radiology at Case Western Reserve University, having gained his doctorate from Rice University. He has over 60 refereed journal publications and is co-owner of several patents. Professor Wilson has actively developed biomedical imaging at CWRU. He has led a faculty recruitment effort, and he has served as PI or has been an active leader on multiple research and equipment developmental awards given to CWRU, including an NIH planning grant award for an in vivo Cellular and Molecular Imaging Center and an Ohio Wright Center of Innovation award. Swamy Laxminarayan, Dsc 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 and has been published in 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.

• 3D
• Automat
• Biomedical Image Analysis
• Biomedical application
• Resolution
• Tumor
• biomedical applications
• classification
• image analysis
• medical devices
• tissue
• 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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