Medical Image Processing: Techniques and Applications

Medical Image Processing: Techniques and Applications

by Geoff Dougherty (Editor)

Paperback(2011)

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Product Details

ISBN-13: 9781461430223
Publisher: Springer New York
Publication date: 09/27/2013
Series: Biological and Medical Physics, Biomedical Engineering
Edition description: 2011
Pages: 380
Product dimensions: 6.10(w) x 9.25(h) x 0.04(d)

About the Author

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).

Table of Contents

Preface.- Contributors.- Introduction.- Rapid Prototyping of Image Analysis Applications.- Seeded Segmentation Methods for Medical Image Analysis.- Deformable Models and Level Sets in Image Segmentation.- Fat Segmentation in Magnetic Resonance Images.- Angiographic Image Analysis.- Detecting and Analyzing Linear Structures in Biomedical Images: A Case Study Using Corneal Nerve Fibers .- Improving and Accelerating the Detection of Linear Features: Selected Applications in Biological Imaging.- Medical Imaging in the Diagnosis of Osteoporosis and Estimation of the Individual Bone Fracture Risk.- Applications of Medical Image Processing in the Diagnosis and Treatment of Spinal Deformity.- Image Analysis of Retinal Images.- Tortuosity as an Indicator of the Severity of Diabetic Retinopathy.- Medical Image Volumetric Visualization: Algorithms, Pipelines and Surgical Applications.- Sparse Sampling in MRI.- Digital Processing of Diffusion-Tensor Images of Avascular Tissues.

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