Reyes Mauricio, Gonzalez Ballester Miguel A, Li Zhixi, Kozic Nina, Chin See, Summers Ronald M, Linguraru Marius George
ARTORG Center for Biomedical Engineering Research, University of Bern, Switzerland.
Proc IEEE Int Symp Biomed Imaging. 2009;2009:682-685. doi: 10.1109/isbi.2009.5193139.
Extensive recent work has taken place on the construction of probabilistic atlases of anatomical organ. We propose a probabilistic atlas of ten major abdominal organs which retains structural variability by using a size-preserving affine registration, and normalizes the physical organ locations to an anatomical landmark. Restricting the degrees of freedom in the transformation, the bias from the reference data is minimized, in terms of organ shape, size and position. Additionally, we present a scheme for the study of anatomical variability within the abdomen, including the clusterization of the modes of variation. The analysis of deformation fields showed a strong correlation with anatomical landmarks and known mechanical deformations in the abdomen. The atlas and its dependencies represent a potentially important research tool for abdominal diagnosis, modeling and soft tissue interventions.
近期在解剖器官概率图谱的构建方面开展了大量工作。我们提出了一个包含十个主要腹部器官的概率图谱，该图谱通过使用保尺寸仿射配准来保留结构变异性，并将物理器官位置归一化到一个解剖学标志点。通过限制变换中的自由度，在器官形状、大小和位置方面，来自参考数据的偏差被最小化。此外，我们提出了一种用于研究腹部解剖变异性的方案，包括变异模式的聚类。变形场分析显示与腹部的解剖学标志点和已知机械变形有很强的相关性。该图谱及其相关性代表了一种对腹部诊断、建模和软组织干预潜在重要的研究工具。
