Swin Transformer-based affine registration of MRI and ultrasound images of the prostate
Shengtian Sang, Hassan Jahanandish, Xinran Li, Sulaiman Vesal, Indrani Bhattacharya, Li‐Chun Zhang, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu · 2024
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.