<p><p>The field of medical imaging advances so rapidly that all of those working in it, scientists, engineers, physicians, educators and others, need to frequently update their knowledge in order to stay abreast of developments. While journals and periodicals play a crucial role in this, more extens
Medical Image Processing: Techniques and Applications
โ Scribed by Geoff Dougherty (ed.)
- Publisher
- Springer
- Year
- 2011
- Tongue
- English
- Leaves
- 397
- Series
- Biological and Medical Physics, Biomedical Engineering
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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 ??e?+otricks of the trade??e?T?. 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.
โฆ Table of Contents
Front Matter....Pages i-xv
Introduction....Pages 1-4
Rapid Prototyping of Image Analysis Applications....Pages 5-25
Seeded Segmentation Methods for Medical Image Analysis....Pages 27-57
Deformable Models and Level Sets in Image Segmentation....Pages 59-87
Fat Segmentation in Magnetic Resonance Images....Pages 89-113
Angiographic Image Analysis....Pages 115-144
Detecting and Analyzing Linear Structures in Biomedical Images: A Case Study Using Corneal Nerve Fibers....Pages 145-166
High-Throughput Detection of Linear Features: Selected Applications in Biological Imaging....Pages 167-191
Medical Imaging in the Diagnosis of Osteoporosis and Estimation of the Individual Bone Fracture Risk....Pages 193-225
Applications of Medical Image Processing in the Diagnosis and Treatment of Spinal Deformity....Pages 227-248
Image Analysis of Retinal Images....Pages 249-268
Tortuosity as an Indicator of the Severity of Diabetic Retinopathy....Pages 269-290
Medical Image Volumetric Visualization: Algorithms, Pipelines, and Surgical Applications....Pages 291-317
Sparse Sampling in MRI....Pages 319-339
Digital Processing of Diffusion-Tensor Images of Avascular Tissues....Pages 341-371
Back Matter....Pages 373-380
โฆ Subjects
Biomedical Engineering;Biophysics and Biological Physics;Diagnostic Radiology;Image Processing and Computer Vision;Spectroscopy and Microscopy
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