Abstract:
:This paper presents a statistical shape model for the automatic prostate segmentation in transrectal ultrasound images. A Gabor filter bank is first used to characterize the prostate boundaries in ultrasound images in both multiple scales and multiple orientations. The Gabor features are further reconstructed to be invariant to the rotation of the ultrasound probe and incorporated in the prostate model as image attributes for guiding the deformable segmentation. A hierarchical deformation strategy is then employed, in which the model adaptively focuses on the similarity of different Gabor features at different deformation stages using a multiresolution technique, i.e., coarse features first and fine features later. A number of successful experiments validate the algorithm.
journal_name
IEEE Trans Med Imagingjournal_title
IEEE transactions on medical imagingauthors
Shen D,Zhan Y,Davatzikos Cdoi
10.1109/TMI.2003.809057subject
Has Abstractpub_date
2003-04-01 00:00:00pages
539-51issue
4eissn
0278-0062issn
1558-254Xjournal_volume
22pub_type
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