Advanced Algorithmic Approaches to Medical Image Segmentation

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

  • Jasjit S. Suri
  • S. Kamaledin Setarehdan
  • Sameer Singh

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

Table of contents

  1. Front Matter
    Pages i-xxvii
  2. Jasjit S. Suri, S. K. Setarehdan, Rakesh Sharma, Sameer Singh, Yansun Xu, Laura Reden
    Pages 1-63
  3. S. K. Setarehdan, John J. Soraghan
    Pages 64-130
  4. Rakesh Sharma, Jasjit S. Suri, Ponnada A. Narayana
    Pages 318-340
  5. Sanjay S. Gopal
    Pages 341-361
  6. Sameer Singh, Keir Bovis
    Pages 440-540
  7. Dorin Comaniciu, Peter Meer
    Pages 541-558
  8. Jasjit S. Suri, Sameer Singh, S. K. Setarehdan, Rakesh Sharma, Keir Bovis, Dorin Comaniciu et al.
    Pages 559-572
  9. Back Matter
    Pages 573-636

About this book

Introduction

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.

Keywords

Image segmentation algorithms brain cardiology cell computed tomography (CT) computer diagnosis image processing imaging magnetic resonance medical imaging neurology tomography ultrasound

Editors and affiliations

  • Jasjit S. Suri
    • 1
  • S. Kamaledin Setarehdan
    • 2
  • Sameer Singh
    • 3
  1. 1.Clinical Research Division, Magnetic Resonance DivisionMarconi Medical Systems Inc.ClevelandUSA
  2. 2.Department of Electrical, Electronic and Computer Engineering, Faculty of EngineeringUniversity of TehranTehranIran
  3. 3.Department of Computer ScienceUniversity of ExeterExeterUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-85729-333-6
  • Copyright Information Springer-Verlag London Limited 2002
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4471-1043-9
  • Online ISBN 978-0-85729-333-6
  • Series Print ISSN 2191-6586
  • Series Online ISSN 2191-6594
  • About this book
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