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Advanced Algorithmic Approaches to Medical Image Segmentation

State-of-the-Art Applications in Cardiology, Neurology, Mammography and Pathology

  • Book
  • © 2002

Overview

Editors:
  1. Jasjit S. Suri

    1. Clinical Research Division, Magnetic Resonance Division, Marconi Medical Systems Inc., Cleveland, USA

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  2. S. Kamaledin Setarehdan

    1. Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran

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    You can also search for this editor in PubMed   Google Scholar

  3. Sameer Singh

    1. Department of Computer Science, University of Exeter, Exeter, UK

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    You can also search for this editor in PubMed   Google Scholar

  • No other book deals exclusively with the subject of medical image segmentation
  • It discusses state-of-the-art techniques, comprising contributions from authors from both industry and academia

Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xxvii
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  2. Basic Principles of Image Generation for Ultrasound, X-Rays, Magnetic Resonance, Computed Tomography and Positron Emission Tomography

    • Jasjit S. Suri, S. K. Setarehdan, Rakesh Sharma, Sameer Singh, Yansun Xu, Laura Reden
    Pages 1-63

  3. Segmentation in Echocardiographic Images

    • S. K. Setarehdan, John J. Soraghan
    Pages 64-130

  4. Segmentation and Quantification Techniques for Fitting Computer Vision Models to Cardiac MR, CT, X-Ray and PET Image Data

    • Jasjit S. Suri
    Pages 131-227

  5. Advances in Computer Vision, Graphics, Image Processing and Pattern Recognition Techniques for MR Brain Cortical Segmentation and Reconstruction: A Review Toward functional MRI (fMRI)

    • Jasjit S. Suri, Sameer Singh, Xiaolan Zeng, Laura Reden
    Pages 228-317

  6. Segmentation Techniques in the Quantification of Multiple Sclerosis Lesions in MRI

    • Rakesh Sharma, Jasjit S. Suri, Ponnada A. Narayana
    Pages 318-340

  7. Finite Mixture Models

    • Sanjay S. Gopal
    Pages 341-361

  8. Application of Segmentation in Localized MR Chemical Shift Imaging and MR Spectroscopy

    • Rakesh Sharma
    Pages 362-415

  9. Fast WM/GM Boundary Segmentation From MR Images Using The Relationship Between Parametric and Geometric Deformable Models

    • Jasjit S. Suri
    Pages 416-439

  10. Medical Image Segmentation in Digitial Mammography

    • Sameer Singh, Keir Bovis
    Pages 440-540

  11. Cell Image Segmentation for Diagnostic Pathology

    • Dorin Comaniciu, Peter Meer
    Pages 541-558

  12. A Note on Future Research in Segmentation Techniques Applied to Neurology, Cardiology, Mammography and Pathology

    • Jasjit S. Suri, Sameer Singh, S. K. Setarehdan, Rakesh Sharma, Keir Bovis, Dorin Comaniciu et al.
    Pages 559-572

  13. Back Matter

    Pages 573-636
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Keywords

About this book

Medical imaging is an important topic which is generally recognised as key to better 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 state-of-the-art model-based segmentation techniques which are applied to cardiac, brain, breast and microscopic cancer cell imaging. It includes contributions from authors based in both industry and academia and presents a host of new material including algorithms for:
- brain segmentation applied to MR;
- neuro-application using MR;
- parametric and geometric deformable models for brain segmentation;
- left ventricle segmentation and analysis using least squares and constrained least squares models for cardiac X-rays;
- left ventricle analysis in echocardioangiograms;
- breast lesion detection in digital mammograms;
detection of cells in cell images.
As an overview of the latest techniques, this book will be of particular interest to students and researchers in medical engineering, image processing, computer graphics, mathematical modelling and data analysis. It will also be of interest to researchers in the fields of mammography, cardiology, pathology and neurology.

Editors and Affiliations

  • Clinical Research Division, Magnetic Resonance Division, Marconi Medical Systems Inc., Cleveland, USA

    Jasjit S. Suri

  • Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran

    S. Kamaledin Setarehdan

  • Department of Computer Science, University of Exeter, Exeter, UK

    Sameer Singh

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