Coarse-to-Fine Joint Registration of MR and Ultrasound Images via Imaging Style Transfer
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arXiv
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| Hauptverfasser: | , , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866908481013940224 |
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| author | Wang, Junyi Zhu, Xi Guo, Yikun Wang, Zixi Gao, Haichuan Zhang, Le Zhang, Fan |
| author_facet | Wang, Junyi Zhu, Xi Guo, Yikun Wang, Zixi Gao, Haichuan Zhang, Le Zhang, Fan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_05240 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | 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 Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition 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. |
| title | Coarse-to-Fine Joint Registration of MR and Ultrasound Images via Imaging Style Transfer |
| topic | Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2508.05240 |