Synthesizing healthy brain scans from diseased brain scans offers a potential solution to address the limitations of general-purpose algorithms, such as tissue segmentation and brain extraction algorithms, which may not effectively handle diseased images. We consider this a 3D inpainting task and investigate the adaptation of 2D inpainting methods to meet the requirements of 3D magnetic resonance imaging(MRI) data. Our contributions encompass potential modifications tailored to MRI-specific needs, and we conducted evaluations of multiple inpainting techniques using the BraTS2023 Inpainting datasets to assess their efficacy and limitations.
@article{arxiv.2402.01509,
title = {Advancing Brain Tumor Inpainting with Generative Models},
author = {Ruizhi Zhu and Xinru Zhang and Haowen Pang and Chundan Xu and Chuyang Ye},
journal= {arXiv preprint arXiv:2402.01509},
year = {2024}
}