Semi-automatic segmentation of the prostate

Zwiggelaar, Reyer, Zhu, Yanong and Williams, Stuart (2003) Semi-automatic segmentation of the prostate. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 2652 . Springer Berlin / Heidelberg, pp. 1108-1116. ISBN 978-3-540-40217-6

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Abstract

A semi-automatic method has been developed which segments the prostate in slices of Magnetic Resonance Imaging (MRI) data. The developed approach exploits the characteristics of the anatomical shape of the prostate when represented in a polar transform space. Simple techniques, such as line detection and non-maximum suppression, are used to track the boundary of the prostate. The initial results, based on a small set of data, indicate a good correlation with expert based manual segmentation.

Item Type: Book Section
Faculty \ School: Faculty of Science > School of Computing Sciences
Related URLs:
Depositing User: Vishal Gautam
Date Deposited: 23 Jul 2011 21:00
Last Modified: 25 Jul 2018 00:24
URI: https://ueaeprints.uea.ac.uk/id/eprint/23765
DOI: 10.1007/978-3-540-44871-6_128

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