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arXiv · 2402.01509

Advancing Brain Tumor Inpainting with Generative Models

Ruizhi Zhu·Xinru Zhang·Haowen Pang·Chundan Xu·Chuyang Ye
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Abstract

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.

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Ruizhi Zhu, Xinru Zhang, Haowen Pang, Chundan Xu, Chuyang Ye. 2024-02-02. Advancing Brain Tumor Inpainting with Generative Models. https://arxiv.org/abs/2402.01509

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