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Voxelwise atlas rating for computer assisted diagnosis: Application to congenital heart diseases of the great arteries

机译:用于计算机辅助诊断的Voxelwise地图集评级:在大动脉先天性心脏病中的应用

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Atlas-based analysis methods rely on the morphological similarity between the atlas and target images, and on the availability of labelled images. Problems can arise when the deformations introduced by pathologies affect the similarity between the atlas and a patient's image. The aim of this work is to exploit the morphological dissimilarities between atlas databases and pathological images to diagnose the underlying clinical condition, while avoiding the dependence on labelled images. We propose a voxelwise atlas rating approach (VoxAR) relying on multiple atlas databases, each representing a particular condition. Using a local image similarity measure to assess the morphological similarity between the atlas and target images, a rating map displaying for each voxel the condition of the atlases most similar to the target is defined. The final diagnosis is established by assigning the condition of the database the most represented in the rating map.
机译:基于图集的分析方法依赖于图集和目标图像之间的形态相似性,以及标记图像的可用性。当由病理学引入的变形影响图谱和患者图像之间的相似性时,可能会出现问题。这项工作的目的是利用地图集数据库和病理图像之间的形态学差异来诊断潜在的临床状况,同时避免依赖标记图像。我们提出了一个依赖于多个地图集数据库的voxelwise地图集评级方法(VoxAR),每个数据库代表一种特定的状况。使用局部图像相似性度量来评估地图集和目标图像之间的形态相似性,定义了一个等级图,用于为每个体素显示与目标最相似的地图集的状况。最终诊断是通过为数据库的条件分配等级映射中最能表示的来建立的。

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