Deformable MRI-US image registration using biomechanically constrained shape matching network for image-guided prostate intervention

Yabo Fu; Yang Lei; Tonghe Wang; Pretesh Patel; Ashesh B. Jani; Hui Mao; Walter J. Curran; Tian Liu; Xiaofeng Yang

doi:10.1117/12.2580789

15 February 2021 Deformable MRI-US image registration using biomechanically constrained shape matching network for image-guided prostate intervention

Yabo Fu, Yang Lei, Tonghe Wang, Pretesh Patel, Ashesh B. Jani, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang

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Proceedings Volume 11602, Medical Imaging 2021: Ultrasonic Imaging and Tomography; 116020K (2021) https://doi.org/10.1117/12.2580789
Event: SPIE Medical Imaging, 2021, Online Only

Abstract

MRI and Transrectal Ultrasound (TRUS) prostate images provide essential information for prostate intervention and cancer treatment. It is beneficial to register the MRI with TRUS images for cancer diagnosis and tumor delineation. However, the two imaging modalities have distinct image intensity which makes the registration difficult. A deep learning based image registration framework was proposed to perform MRI-TRUS image fusion. The prostate from the MRI and TRUS was first segmented for prostate shape modeling using point clouds. The network utilizes point cloud matching to perform prostate alignment. Biomechanical modeling was used to regularize the prostate deformation during image registration. The performance of the network was evaluated using dice similarity coefficient (DSC), mean surface distance (MSD), Hausdorff distance (HD) and target registration error (TRE). The calculated DSC, MSD, HD and TRE were 0.94±0.02, 0.90±0.23mm, 2.96±1.00mm and 1.57±0.77mm, respectively. Our results showed that the proposed method can register the prostate on MRI to that on the TRUS accurately

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Yabo Fu, Yang Lei, Tonghe Wang, Pretesh Patel, Ashesh B. Jani, Hui Mao, Walter J. Curran, Tian Liu, and Xiaofeng Yang "Deformable MRI-US image registration using biomechanically constrained shape matching network for image-guided prostate intervention", Proc. SPIE 11602, Medical Imaging 2021: Ultrasonic Imaging and Tomography, 116020K (15 February 2021); https://doi.org/10.1117/12.2580789

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