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Proceedings Paper

Prostate ultrasound image segmentation using level set-based region flow with shape guidance
Author(s): Lixin Gong; Lydia Ng; Sayan Dev Pathak; Ismail Tutar; Paul S. Cho; David R. Haynor; Yongmin Kim
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Paper Abstract

Prostate segmentation in ultrasound images is a clinically important and technically challenging task. Despite several research attempts, few effective methods are available. One problem is the limited algorithmic robustness to common artifacts in clinical data sets. To improve the robustness, we have developed a hybrid level set method, which incorporates shape constraints into a region-based curve evolution process. The online segmentation method alternates between two steps, namely, shape model estimation (ME) and curve evolution (CE). The prior shape information is encoded in an implicit parametric model derived offline from manually outlined training data. Utilizing this prior shape information, the ME step tries to compute the maximum a posteriori estimate of the model parameters. The estimated shape is then used to guide the CE step, which in turn provides a new model initialization for the ME step. The process stops automatically when the curve locks onto the specific prostate shape. The ME and the CE steps complement each other to capture both global and local shape details. With shape guidance, this algorithm is less sensitive to initial contour placement and more robust even in the presence of large boundary gaps and strong clutter. Promising results are demonstrated on both synthetic and real prostate ultrasound images.

Paper Details

Date Published: 29 April 2005
PDF: 10 pages
Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); doi: 10.1117/12.594403
Show Author Affiliations
Lixin Gong, Insightful Corp. (United States)
Lydia Ng, Allen Institute for Brain Science (United States)
Sayan Dev Pathak, Insightful Corp. (United States)
Ismail Tutar, Univ. of Washington (United States)
Paul S. Cho, Univ. of Washington (United States)
David R. Haynor, Univ. of Washington (United States)
Yongmin Kim, Univ. of Washington (United States)


Published in SPIE Proceedings Vol. 5747:
Medical Imaging 2005: Image Processing
J. Michael Fitzpatrick; Joseph M. Reinhardt, Editor(s)

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