Medical Image Processing

1. Front Matter

   Pages i-xv

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2. Introduction

   • Geoff Dougherty

   Pages 1-4

3. Rapid Prototyping of Image Analysis Applications

   • Cris L. Luengo Hendriks, Patrik Malm, Ewert Bengtsson

   Pages 5-25

4. Seeded Segmentation Methods for Medical Image Analysis

   • Camille Couprie, Laurent Najman, Hugues Talbot

   Pages 27-57

5. Deformable Models and Level Sets in Image Segmentation

   • Agung Alfiansyah

   Pages 59-87

6. Fat Segmentation in Magnetic Resonance Images

   • David P. Costello, Patrick A. Kenny

   Pages 89-113

7. Angiographic Image Analysis

   • Olena Tankyevych, Hugues Talbot, Nicolas Passat, Mariano Musacchio, Michel Lagneau

   Pages 115-144

8. Detecting and Analyzing Linear Structures in Biomedical Images: A Case Study Using Corneal Nerve Fibers

   • Mohammad A. Dabbah, James Graham, Rayaz A. Malik, Nathan Efron

   Pages 145-166

9. High-Throughput Detection of Linear Features: Selected Applications in Biological Imaging

   • Luke Domanski, Changming Sun, Ryan Lagerstrom, Dadong Wang, Leanne Bischof, Matthew Payne et al.

   Pages 167-191

10. Medical Imaging in the Diagnosis of Osteoporosis and Estimation of the Individual Bone Fracture Risk

    • Mark A. Haidekker, Geoff Dougherty

    Pages 193-225

11. Applications of Medical Image Processing in the Diagnosis and Treatment of Spinal Deformity

    • Clayton Adam, Geoff Dougherty

    Pages 227-248

12. Image Analysis of Retinal Images

    • Michael J. Cree, Herbert F. Jelinek

    Pages 249-268

13. Tortuosity as an Indicator of the Severity of Diabetic Retinopathy

    • Michael Iorga, Geoff Dougherty

    Pages 269-290

14. Medical Image Volumetric Visualization: Algorithms, Pipelines, and Surgical Applications

    • Qi Zhang, Terry M. Peters, Roy Eagleson

    Pages 291-317

15. Sparse Sampling in MRI

    • Philip J. Bones, Bing Wu

    Pages 319-339

16. Digital Processing of Diffusion-Tensor Images of Avascular Tissues

    • Konstantin I. Momot, James M. Pope, R. Mark Wellard

    Pages 341-371

17. Back Matter

    Pages 373-380

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The book is designed for end users in the field of digital imaging, who wish to update their skills and understanding with the latest techniques in image analysis. The book emphasizes the conceptual framework of image analysis and the effective use of image processing tools. It uses applications in a variety of fields to demonstrate and consolidate both specific and general concepts, and to build intuition, insight and understanding. Although the chapters are essentially self-contained they reference other chapters to form an integrated whole. Each chapter employs a pedagogical approach to ensure conceptual learning before introducing specific techniques and “tricks of the trade”. The book concentrates on a number of current research applications, and will present a detailed approach to each while emphasizing the applicability of techniques to other problems. The field of topics is wide, ranging from compressive (non-uniform) sampling in MRI, through automated retinal vessel analysis to 3-D ultrasound imaging and more. The book is amply illustrated with figures and applicable medical images. The reader will learn the techniques which experts in the field are currently employing and testing to solve particular research problems, and how they may be applied to other problems.

• 3-D ultrasound imaging
• Compressive sampling
• biological imaging
• clinical imaging
• image analysis
• medical imaging
• pattern recognition
• Diagnostic Radiology

• , Applied Physics and Medical Imaging, California State University Channel Isla, Camarillo, USA

  Geoff Dougherty

Geoff Dougherty is Professor of Applied Physics and Medical Imaging at California State University Channel Islands, where he teaches both undergraduate and graduate courses in image analysis, pattern recognition and medical imaging. He has been conducting research in the applications of image processing and analysis to medical images for over 20 years. In 2009 he was awarded a Fulbright Senior Scholarship to undertake research in Brisbane, Australia. He has published numerous articles in international journals, and is the author of several book chapters and a textbook in image analysis. He is a Fellow of the IET, a Senior Member of the IEEE and a Member of the American Association of Physicists in Medicine (AAPM), and has held positions at Kuwait University, Keele University, Monash University, the Science University of Malaysia (USM) and the Swiss Federal Institute of Technology (ETH).

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