Real-time segmentation of Trans-urethral Ultrasound images for prostate brachytherapy

David R. Holmes; Richard A. Robb

doi:10.1007/978-3-540-39903-2_134

Real-time segmentation of Trans-urethral Ultrasound images for prostate brachytherapy

David R. Holmes, Richard A. Robb

Physiology & Biomedical Engineering

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English (US)
Pages (from-to)	983-984
Number of pages	2
Journal	Lecture Notes in Computer Science
Volume	2879
Issue number	PART 2
DOIs	https://doi.org/10.1007/978-3-540-39903-2_134
State	Published - 2003
Event	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings - Montreal, Que., Canada Duration: Nov 15 2003 → Nov 18 2003

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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10.1007/978-3-540-39903-2_134

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title = "Real-time segmentation of Trans-urethral Ultrasound images for prostate brachytherapy",

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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AB - 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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Real-time segmentation of Trans-urethral Ultrasound images for prostate brachytherapy

Abstract

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