Paper Info
Title
Rotational-slice-Based prostate segmentation using level set with shape constraint for 3D end-firing TRUS guided biopsy.
Abstract
Prostate segmentation in 3D ultrasound images is an important step in the planning and treatment of 3D end-firing transrectal ultrasound (TRUS) guided prostate biopsy. A semi-automatic prostate segmentation method is presented in this paper, which integrates a modified distance regularization level set formulation with shape constraint to a rotational-slice-based 3D prostate segmentation method. Its performance, using different metrics, has been evaluated on a set of twenty 3D patient prostate images by comparison with expert delineations. The volume overlap ratio of 93.39 +/- 1.26% and the mean absolute surface distance of 1.16 +/- 0.34 mm were found in the quantitative validation result.
Year
DOI
Venue
2012
10.1007/978-3-642-33415-3_66
MICCAI
Keywords
Field
DocType
rotational-slice-based prostate segmentation,prostate biopsy,mean absolute surface distance,set formulation,prostate segmentation,end-firing trus,semi-automatic prostate segmentation method,prostate segmentation method,modified distance regularization level,ultrasound image,patient prostate image,transrectal ultrasound,shape constraint
Computer vision,Pattern recognition,Computer science,Prostate segmentation,Level set,Prostate biopsy,Biopsy,Prostate,Artificial intelligence,3D ultrasound,Ultrasound
Conference
Volume
Issue
ISSN
15
Pt 1
0302-9743
Citations 
PageRank 
References 
9
0.62
11
Authors
5
Name
Order
Citations
PageRank
Wu Qiu120318.54
Jing Yuan237223.02
Eranga Ukwatta315418.10
David Tessier4282.85
Aaron Fenster51068.46