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Proceedings Paper

3-D statistical cancer atlas-based targeting of prostate biopsy using ultrasound image guidance
Author(s): Ramkrishnan Narayanan; Dinggang Shen; Christos A. Davatzikos; E. David Crawford; Albaha Barqawi; Priya Werahera; Dinesh Kumar; Jasjit S. Suri
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Paper Abstract

Prostate cancer is a multifocal disease and lesions are not distributed uniformly within the gland. Several biopsy protocols concerning spatially specific targeting have been reported urology literature. Recently a statistical cancer atlas of the prostate was constructed providing voxelwise probabilities of cancers in the prostate. Additionally an optimized set of biopsy sites was computed with 94 - 96% detection accuracy was reported using only 6-7 needles. Here we discuss the warping of this atlas to prostate segmented side-fire ultrasound images of the patient. A shape model was used to speed up registration. The model was trained from over 38 expert segmented subjects off-line. This training yielded as few as 15-20 degrees of freedom that were optimized to warp the atlas surface to the patient's ultrasound image followed by elastic interpolation of the 3-D atlas. As a result the atlas is completely mapped to the patient's prostate anatomy along with optimal predetermined needle locations for biopsy. These do not preclude the use of additional biopsies if desired. A color overlay of the atlas is also displayed on the ultrasound image showing high cancer zones within the prostate. Finally current biopsy locations are saved in the atlas space and may be used to update the atlas based on the pathology report. In addition to the optimal atlas plan, previous biopsy locations and alternate plans can also be stored in the atlas space and warped to the patient with no additional time overhead.

Paper Details

Date Published: 26 March 2008
PDF: 6 pages
Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69142X (26 March 2008); doi: 10.1117/12.770542
Show Author Affiliations
Ramkrishnan Narayanan, Eigen LLC (United States)
Dinggang Shen, Univ. of Pennsylvania (United States)
Christos A. Davatzikos, Univ. of Pennsylvania (United States)
E. David Crawford, Univ. of Colorado Denver (United States)
Albaha Barqawi, Univ. of Colorado Denver (United States)
Priya Werahera, Univ. of Colorado Denver (United States)
Dinesh Kumar, Eigen LLC (United States)
Jasjit S. Suri, Eigen LLC (United States)

Published in SPIE Proceedings Vol. 6914:
Medical Imaging 2008: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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