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Prostate Contouring in MRI Guided Biopsy
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Institution: |
1School of Computing, Queen's University, Canada. 2Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. |
Publisher: |
SPIE Medical Imaging, Image Processing |
Publication Date: |
Feb-2009 |
Volume Number: |
7259 |
Citation: |
Proceedings of SPIE Medical Imaging, Image Processing 2009; 7259. |
Keywords: |
Prostate Biopsy, prostate, segmentation, MRI |
Appears in Collections: |
NA-MIC, Prostate Group |
Sponsors: |
NIH 1R01EB002963-01 |
Generated Citation: |
Vikal S., Haker S., Tempany C.M., Fichtinger G. Prostate Contouring in MRI Guided Biopsy. Proceedings of SPIE Medical Imaging, Image Processing 2009; 7259. |
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| Paper: | Download, View online |
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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.
Additional Material
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Vikal-SPIE2009-fig2.jpg (127.429kB)