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.
authors.affiliation: Imaging Research Laboratories, Robarts Research Institute, 100 Perth, London, Ontario, Canada, N6A 5k8. WQiu@imaging.robarts.ca
authors.forename: Wu
authors.initials: W
authors.lastname: Qiu
authors.forename: Jing
authors.initials: J
authors.lastname: Yuan
authors.forename: Eranga
authors.initials: E
authors.lastname: Ukwatta
authors.forename: David
authors.initials: D
authors.lastname: Tessier
authors.forename: Aaron
authors.initials: A
authors.lastname: Fenster
mesh_terms: D000465:Algorithms; D001706:Biopsy / Q000379:methods; D003952:Diagnostic Imaging / Q000379:methods; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D061705:Image-Guided Biopsy / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008297:Male; D015233:Models, Statistical; D011467:Prostate / Q000000981:diagnostic imaging*; D011471:Prostatic Neoplasms / Q000175:diagnosis*; D012007:Rectum / Q000000981:diagnostic imaging*; D015203:Reproducibility of Results; D014463:Ultrasonography / Q000379:methods*