用风格迁移提升磁共振与超声图像配准精度
Coarse-to-Fine Joint Registration of MR and Ultrasound Images via Imaging Style Transfer
- 先用3D CycleGAN生成合成T1图像，再分粗细两阶段配准
- 相比传统方法，配准一致性在多数情况下明显提升
- 适合需要术前术后影像融合的医学图像应用
我们开发了一套用于术前磁共振（MR）图像与术后超声（US）图像配准的流程。该方法采用无配对风格迁移技术，通过3D CycleGAN生成合成T1图像，从而提升配准性能。此外，配准过程结合了仿射变换与局部非刚性变形，实现粗粒度到细粒度的渐进式配准。结果表明，该方法在大多数情况下显著提高了MR与US图像对的一致性。
原文摘要 · Abstract (English)
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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