
Proceedings Paper
Prostate contouring in MRI-guided biopsyFormat | Member Price | Non-Member Price |
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Paper Abstract
With MRI possibly becoming a modality of choice for detection and staging of prostate cancer, fast and accurate
outlining of the prostate is required in the volume of clinical interest. We present a semi-automatic algorithm that uses a
priori knowledge of prostate shape to arrive at the final prostate contour. The contour of one slice is then used as initial
estimate in the neighboring slices. Thus we propagate the contour in 3D through steps of refinement in each slice. The
algorithm makes only minimum assumptions about the prostate shape. A statistical shape model of prostate contour in
polar transform space is employed to narrow search space. Further, shape guidance is implicitly imposed by allowing
only plausible edge orientations using template matching. The algorithm does not require region-homogeneity,
discriminative edge force, or any particular edge profile. Likewise, it makes no assumption on the imaging coils and
pulse sequences used and it is robust to the patient's pose (supine, prone, etc.). The contour method was validated using
expert segmentation on clinical MRI data. We recorded a mean absolute distance of 2.0 ± 0.6 mm and dice similarity
coefficient of 0.93 ± 0.3 in midsection. The algorithm takes about 1 second per slice.
Paper Details
Date Published: 27 March 2009
PDF: 8 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72594A (27 March 2009); doi: 10.1117/12.812433
Published in SPIE Proceedings Vol. 7259:
Medical Imaging 2009: Image Processing
Josien P. W. Pluim; Benoit M. Dawant, Editor(s)
PDF: 8 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72594A (27 March 2009); doi: 10.1117/12.812433
Show Author Affiliations
Published in SPIE Proceedings Vol. 7259:
Medical Imaging 2009: Image Processing
Josien P. W. Pluim; Benoit M. Dawant, Editor(s)
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