spectral clustering for trus images谱聚类为trus图像.pdfVIP

BioMedical Engineering OnLine BioMed Central Research Open Access Spectral clustering for TRUS images Samar S Mohamed and Magdy MA Salama* Address: ECE Dept., University of Waterloo, Waterloo, Ontario, Canada Email: Samar S Mohamed - smohamed@hivolt.uwaterloo.ca; Magdy MA Salama* - msalama@hivolt.uwaterloo.ca * Corresponding author Published: 15 March 2007 Received: 13 October 2006 Accepted: 15 March 2007 BioMedical Engineering OnLine 2007, 6:10 doi:10.1186/1475-925X-6-10 This article is available from: /content/6/1/10 © 2007 Mohamed and Salama; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: Identifying the location and the volume of the prostate is important for ultrasound- guided prostate brachytherapy. Prostate volume is also important for prostate cancer diagnosis. Manual outlining of the prostate border is able to determine the prostate volume accurately, however, it is time consuming and tedious. Therefore, a number of investigations have been devoted to designing algorithms that are suitable for segmenting the prostate boundary in ultrasound images. The most popular method is the deformable model (snakes), a method that involves