Rotational-Slice-Based prostate segmentation using level set with shape constraint for 3d end-firing TRUS guided biopsy

Authors:
Wu Qiu;Jing Yuan;Eranga Ukwatta;David Tessier;Aaron Fenster
Affiliations:
Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada;Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada;Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada;Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada;Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada
Venue:
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Year:
2012

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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.