NDLI: Semi-Automatic Prostate Segmentation of MR Images Based on Flow Orientation

Content Provider	IEEE Xplore Digital Library
Author	Samiee, M. Thomas, G. Fazel-Rezai, R.
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man. (Samiee, M.; Thomas, G.; Fazel-Rezai, R.)
Abstract	Prostate cancer is one of the leading causes of death in men. Accurate segmentation of prostate magnetic resonance imagery allows for the maximum volume of the prostate to be considered in diagnosis, using magnetic resonance spectroscopy, and in treatment using intensity modulated radiotherapy. In this work a semi-automatic method which segments the prostate on magnetic resonance images is presented. This algorithm evaluates the curve of the prostate in an orientation based frame work. Having computed the edge direction of each individual pixel in the region surrounding the prostate, and considering the location of four points of this region that have been previously selected by the user, a statistical average mask of size 3times3 follows the direction of a channel of low intensity pixels around the prostate using prior knowledge of the shape of the object. The initial results show promising results when comparing this method to the segmentation done by an expert
Starting Page	203
Ending Page	207
File Size	756704
Page Count	5
File Format	PDF
ISBN	0780397533
DOI	10.1109/ISSPIT.2006.270797
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Magnetic resonance imaging Shape Prostate cancer Magnetic resonance Spectroscopy Coils Signal processing Information technology Intensity modulation MRI Prostate Segmentation Flow Orientation
Content Type	Text
Resource Type	Article

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