Abstract
Previous research on Trans-urethral Ultrasound (TUUS) imaging has shown promise that TUUS will become a viable new intra-operative tool. Prior work focused on the processing of TUUS data in order to obtain useful clinical information, however intra-operative imaging issues (real-time feedback) have not been fully addressed. This paper describes a unique framework for efficient processing which can be used for intra-operative imaging. The methods describe a segmentation pipeline which meet the requirements of intra-operative imaging in prostate brachytherapy. The implementation of the process is described and the process is evaluated for efficiency and accuracy.
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Holmes III, D.R., Davis, B.J., Robb, R.A.: Trans-urethral ultrasound: A new tool for diagnostic and therapeutic imaging in prostate cancer. In: Niessen, W.J., Viergever, M.A. (eds.) MICCAI 2001. LNCS, vol. 2208, p. 1243. Springer, Heidelberg (2001)
Holmes III, D.R.: Trans-urethral Catheter-based Ultrasound Image Acquisition, Processing and Visualization for Applications in the Prostate. Doctoral Thesis, Mayo Foundation (2002)
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© 2003 Springer-Verlag Berlin Heidelberg
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Holmes, D.R., Robb, R.A. (2003). Real-Time Segmentation of Trans-urethral Ultrasound Images for Prostate Brachytherapy. In: Ellis, R.E., Peters, T.M. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. MICCAI 2003. Lecture Notes in Computer Science, vol 2879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39903-2_134
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DOI: https://doi.org/10.1007/978-3-540-39903-2_134
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20464-0
Online ISBN: 978-3-540-39903-2
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