Lorenz Cristian, von Berg Jens
Philips Research Laboratories, Sector Technical Systems, Röntgenstrasse 24-26, P.O. Box 63 05 65, D-22335 Hamburg, Germany.
Med Image Anal. 2006 Aug;10(4):657-70. doi: 10.1016/j.media.2006.03.004. Epub 2006 May 18.
Domain knowledge about the geometrical properties of cardiac structures is an important ingredient for the segmentation of these structures in medical images or for the simulation of cardiac physiology. So far, a strong focus was put on the left ventricle due to its importance for the general pumping performance of the heart and related functional indices. However, other cardiac structures are of similar importance, e.g., the coronary arteries with respect to diagnosis and treatment of arteriosclerosis or the left atrium with respect to the treatment of atrial fibrillation. In this paper we describe the generation of a geometric cardiac model including the four cardiac chambers and the trunks of the connected vasculature, as well as the coronary arteries and a set of cardiac landmarks. A mean geometric model for the end-diastolic heart has been built based on 27 cardiac CT datasets and has been evaluated with respect to its capability to estimate the position of cardiac structures. Allowing a similarity transformation to adapt the model to image data, cardiac surface positions can be predicted with an accuracy of below 5mm.
关于心脏结构几何特性的领域知识是在医学图像中分割这些结构或模拟心脏生理过程的重要因素。到目前为止，由于左心室对心脏总体泵血功能和相关功能指标的重要性，人们一直将重点强烈放在左心室上。然而，其他心脏结构也具有类似的重要性，例如，冠状动脉对于动脉硬化的诊断和治疗，以及左心房对于心房颤动的治疗。在本文中，我们描述了一个几何心脏模型的生成，该模型包括四个心腔和相连脉管系统的主干，以及冠状动脉和一组心脏标志点。基于27个心脏CT数据集构建了舒张末期心脏的平均几何模型，并对其估计心脏结构位置的能力进行了评估。通过允许相似变换使模型适应图像数据，可以预测心脏表面位置，其精度低于5毫米。
