Coarse-to-Fine Joint Registration of MR and Ultrasound Images via Imaging Style Transfer

Wang, Junyi, Zhu, Xi, Guo, Yikun, Wang, Zixi, Gao, Haichuan, Zhang, Le, Zhang, Fan

arXiv.org Artificial Intelligence 

We developed a pipeline for registering pre-surgery Magnetic Resonance (MR) images and post-resection Ultrasound (US) images. Our approach leverages unpaired style transfer using 3D CycleGAN to generate synthetic T1 images, thereby enhancing registration performance. Additionally, our registration process employs both affine and local deformable transformations for a coarse-to-fine registration. The results demonstrate that our approach improves the consistency between MR and US image pairs in most cases.

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