Medical Image Segmentation Using Level Set Method and Digital Topology - Concepts and New Developments (Paperback)

Recent developments in medical imaging technology have changed the practice of medicine, providing physicians with powerful, non-invasive methods for studying the internal anatomy and function of the human body. These advances in imaging techniques offer both a great opportunity and a tremendous challenge for the image processing community to develop new tools to help the analysis and interpretation of the vast amount of complex medical imaging data. The work presented in this book is motivated by the fascinating task of studying the structural and functional relationship of the human brain, with the specific aim of developing geometrically accurate and topologically correct methods for automatic segmentation of 3D magnetic resonance brain images. Several new methods are reported in this book, which should help provide new insights in understanding the medical image segmentation problem and the challenges it poses, and help promote future development in the fields of image processing, signal processing, computer vision, and medical imaging.

General

Imprint:	VDM Verlag
Country of origin:	Germany
Release date:	December 2008
First published:	December 2008
Authors:	Xiao Han
Dimensions:	229 x 152 x 12mm (L x W x T)
Format:	Paperback - Trade
Pages:	232
ISBN-13:	978-3-639-11118-7
Categories:	Books > Medicine > General issues > General Promotions
LSN:	3-639-11118-4
Barcode:	9783639111187

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