Advanced Algorithmic Approaches to Medical Image Segmentation

1. Front Matter

   Pages i-xxvii

   PDF

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

    PDF

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.

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

• 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

Policies and ethics