Swin Transformer-based affine registration of MRI and ultrasound images of the prostate

Shengtian Sang; Hassan Jahanandish; Xinran Li; Sulaiman Vesal; Indrani Bhattacharya; Lichun Zhang; Richard E. Fan; Geoffrey Sonn; Mirabela Rusu

doi:10.1117/12.3008797

1 April 2024 Swin Transformer-based affine registration of MRI and ultrasound images of the prostate

Shengtian Sang, Hassan Jahanandish, Xinran Li, Sulaiman Vesal, Indrani Bhattacharya, Lichun Zhang, Richard E. Fan, Geoffrey Sonn, Mirabela Rusu

Author Affiliations +

Proceedings Volume 12932, Medical Imaging 2024: Ultrasonic Imaging and Tomography; 1293208 (2024) https://doi.org/10.1117/12.3008797
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Abstract

The alignment of MRI and ultrasound images of the prostate is crucial in detecting prostate cancer during biopsies, directly affecting the accuracy of prostate cancer diagnosis. However, due to the low signal-to-noise ratio of ultrasound images and the varied imaging properties of the prostate between MRI and ultrasound, it’s challenging to efficiently and accurately align MRI and ultrasound images of the prostate. This study aims to present an effective affine transformation method that can automatically register prostate MRI and ultrasound images. In real-world clinical practice, it may increase the effectiveness of prostate cancer biopsies and the accuracy of prostate cancer diagnosis.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shengtian Sang, Hassan Jahanandish, Xinran Li, Sulaiman Vesal, Indrani Bhattacharya, Lichun Zhang, Richard E. Fan, Geoffrey Sonn, and Mirabela Rusu "Swin Transformer-based affine registration of MRI and ultrasound images of the prostate", Proc. SPIE 12932, Medical Imaging 2024: Ultrasonic Imaging and Tomography, 1293208 (1 April 2024); https://doi.org/10.1117/12.3008797

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