Specialists in both computer vision and medical imaging explore the interface between the two for the benefit of computer and medical professionals and students and system designers looking for better medical instrumentation. Their topics include distribution matching approaches to medical image segmentation, a multi-resolution active contour-framework for ultrasound image segmentation, fusing three-dimensional quantitative coronary angiography with intra-coronary imaging for coronary interventions, pattern classification in brain diffusion magnetic resonance imaging (MRI) with applications to Schizophrenia diagnosis, and hierarchical statistical shape models with application to brain MRI. Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)
The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists.The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.
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