Abstract
This paper presents a new image-guided prostate biopsy system under development. The system features a 3-D prostate cancer distribution atlas and new biopsy protocols optimized based on the cancer atlas using a nonlinear integer programming approach. Both the cancer atlas and the optimal protocols are being dynamically registered and superimposed onto the trans-rectal ultrasound images during live-patient biopsy procedures. Clear visual guidance will be provided to the physicians by color-coded spots on top of the ultrasound images, which represent best possible targets for biopsy. Clinical test will be performed to evaluate the system.
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Zeng, J., Kaplan, C., Bauer, J., Sesterhenn, I., Moul, J. And Mun, S. K.: Visualization and evaluation of prostate needle biopsy. Proceedings of the Medical Image Computing and Computer Assisted Intervention Conference (1998) 285–292
Zeng, J., Bauer, J., Sofer, A., Yao, X., Opell, B., Zhang, W., Sestrehenn, I. A., Moul, J. W., Lynch, J., Mun, S. K.: Distribution of Prostate Cancer for Optimized Biopsy Protocols. Proceedings of the Medical Image Computing and Computer Assisted Intervention Conference (2000) 287–296
Sofer, A., Zeng, J., Opell, B., Bauer, J., Mun, S.K.: Optimal Biopsy Protocols for Prostate Cancer. In revision for publication in Interfaces (2001)
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© 2001 Springer-Verlag Berlin Heidelberg
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Zeng, J., Sofer, A., Mun, S.K. (2001). Development of a New Image-Guided Prostate Biopsy System. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3_182
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DOI: https://doi.org/10.1007/3-540-45468-3_182
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