Abstract
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.
Abstract (translated)
我们开发了一种管道，用于注册术前磁共振（MR）图像和术后超声（US）图像。我们的方法利用未配对的风格转换技术，通过3D CycleGAN生成合成T1图像，从而提高图像配准性能。此外，我们的配准过程采用了仿射变换和局部可变形变换相结合的方法，实现了从粗到精的配准。实验结果表明，在大多数情况下，我们的方法提高了MR与US图像对之间的匹配一致性。
URL
https://arxiv.org/abs/2508.05240
