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Model based rib-cage unfolding for Trauma CT

机译:用于创伤CT的基于模型的肋骨展开

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A CT rib-cage unfolding method is proposed that does not require to determine rib centerlines but determines the visceral cavity surface by model base segmentation. Image intensities are sampled across this surface that is flattened using a model based 3D thin-plate-spline registration. An average rib centerline model projected onto this surface serves as a reference system for registration. The flattening registration is designed so that ribs similar to the centerline model are mapped onto parallel lines preserving their relative length. Ribs deviating from this model appear deviating from straight parallel ribs in the unfolded view, accordingly. As the mapping is continuous also the details in intercostal space and those adjacent to the ribs are rendered well. The most beneficial application area is Trauma CT where a fast detection of rib fractures is a crucial task. Specifically in trauma, automatic rib centerline detection may not be guaranteed due to fractures and dislocations. The application by visual assessment on the large public LIDC data base of lung CT proved general feasibility of this early work.
机译:提出了一种CT肋骨展开方法,该方法不需要确定肋骨中心线,而是通过模型基础分割来确定内脏腔表面。使用基于模型的3D薄板样条配准将图像展平,然后对该表面进行采样。投影到该表面上的平均肋骨中心线模型用作配准的参考系统。扁平化对齐的设计方式是,将类似于中心线模型的肋映射到保留其相对长度的平行线上。因此,在展开视图中,偏离此模型的肋看起来偏离了笔直的平行肋。由于映射是连续的,因此肋间空间中的细节以及与肋骨相邻的细节也得到了很好的呈现。最有益的应用领域是Trauma CT,其中快速检测肋骨骨折是至关重要的任务。特别是在创伤中,由于骨折和脱位可能无法保证自动肋骨中心线检测。通过视觉评估将其应用于大型公共CT肺部LIDC数据库,证明了此早期工作的普遍可行性。

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