Abstract
Inpainting has recently emerged as a valuable and interesting technology to employ in the analysis of medical imaging data, in particular brain MRI. A wide variety of methodologies for inpainting MRI have been proposed and demonstrated on tasks including anomaly detection. In this work we investigate the statistical relationship between inpainted brain structures and the amount of subject-specific conditioning information, i.e. the other areas of the image that are masked. In particular, we analyse the distribution of inpainting results when masking additional regions of the image, specifically the contra-lateral structure. This allows us to elucidate where in the brain the model is drawing information from, and in particular, what is the importance of hemispherical symmetry? Our experiments interrogate a diffusion inpainting model through analysing the inpainting of subcortical brain structures based on intensity and estimated area change. We demonstrate that some structures show a strong influence of symmetry in the conditioning of the inpainting process.
Abstract (translated)
最近，图像修复（Inpainting）技术在医学影像数据分析中，尤其是脑部MRI分析方面展现出了其价值和趣味性。许多用于MRI图像修复的方法已经被提出，并且在包括异常检测在内的任务中得到了验证。在这项工作中，我们调查了修复后的脑结构与其特定受试者的条件信息之间的统计关系，即那些被遮蔽的其他区域。具体来说，我们分析了当屏蔽额外区域（特别是对侧结构）时图像修复结果的分布情况。这使我们能够揭示模型从大脑何处获取信息，并特别指出半球对称性的重要性是什么。 我们的实验通过分析基于强度和估计面积变化进行弥散MRI图像修复的过程来探究一个图像修复模型。结果显示，某些结构在图像修复过程中的条件化过程中表现出强烈的对称性影响。
URL
https://arxiv.org/abs/2504.10039
