A MR-TRUS registration method for ultrasound-guided prostate interventions

Xiaofeng Yang; Peter Rossi; Hui Mao; Ashesh B. Jani; Tomi Ogunleye; Walter J. Curran; Tian Liu

doi:10.1117/12.2077825

18 March 2015 A MR-TRUS registration method for ultrasound-guided prostate interventions

Xiaofeng Yang, Peter Rossi, Hui Mao, Ashesh B. Jani, Tomi Ogunleye, Walter J. Curran, Tian Liu

Proceedings Volume 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling; 94151Y (2015) https://doi.org/10.1117/12.2077825
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

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.

Citation Download Citation

Xiaofeng Yang, Peter Rossi, Hui Mao, Ashesh B. Jani, Tomi Ogunleye, Walter J. Curran, and Tian Liu "A MR-TRUS registration method for ultrasound-guided prostate interventions", Proc. SPIE 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling, 94151Y (18 March 2015); https://doi.org/10.1117/12.2077825

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