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Proceedings Paper

A MR-TRUS registration method for ultrasound-guided prostate interventions
Author(s): Xiaofeng Yang; Peter Rossi; Hui Mao; Ashesh B. Jani; Tomi Ogunleye; Walter J. Curran; Tian Liu
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Paper Abstract

In this paper, we reported a MR-TRUS prostate registration method that uses a subject-specific prostate strain model to improve MR-targeted, US-guided prostate interventions (e.g., biopsy and radiotherapy). The proposed algorithm combines a subject-specific prostate strain model with a Bspline transformation to register the prostate gland of the MRI to the TRUS images. The prostate strain model was obtained through US elastography and a 3D strain map of the prostate was generated. The B-spline transformation was calculated by minimizing Euclidean distance between MR and TRUS prostate surfaces. This prostate stain map was used to constrain the B-spline-based transformation to predict and compensate for the internal prostate-gland deformation. This method was validated with a prostate-phantom experiment and a pilot study of 5 prostate-cancer patients. For the phantom study, the mean target registration error (TRE) was 1.3 mm. MR-TRUS registration was also successfully performed for 5 patients with a mean TRE less than 2 mm. The proposed registration method may provide an accurate and robust means of estimating internal prostate-gland deformation, and could be valuable for prostate-cancer diagnosis and treatment.

Paper Details

Date Published: 18 March 2015
PDF: 9 pages
Proc. SPIE 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling, 94151Y (18 March 2015); doi: 10.1117/12.2077825
Show Author Affiliations
Xiaofeng Yang, Winship Cancer Institute of Emory Univ. (United States)
Peter Rossi, Winship Cancer Institute of Emory Univ. (United States)
Hui Mao, Winship Cancer Institute of Emory Univ. (United States)
Ashesh B. Jani, Winship Cancer Institute of Emory Univ. (United States)
Tomi Ogunleye, Winship Cancer Institute of Emory Univ. (United States)
Walter J. Curran, Winship Cancer Institute of Emory Univ. (United States)
Tian Liu, Winship Cancer Institute of Emory Univ. (United States)


Published in SPIE Proceedings Vol. 9415:
Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster; Ziv R. Yaniv, Editor(s)

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