Dept. of Comput. & Inf. Sci., Pennsylvania Univ., Philadelphia, PA.
IEEE Trans Med Imaging. 1996;15(3):278-89. doi: 10.1109/42.500137.
The authors present a new method for analyzing the motion of the heart's left ventricle (LV) from tagged magnetic resonance imaging (MRI) data. Their technique is based on the development of a new class of physics-based deformable models whose parameters are functions. They allow the definition of new parameterized primitives and parameterized deformations which can capture the local shape variation of a complex object. Furthermore, these parameters are intuitive and require no complex post-processing in order to be used by a physician. Using a physics-based approach, the authors convert the geometric models into dynamic models that deform due to forces exerted from the datapoints and conform to the given dataset. The authors present experiments involving the extraction of the shape and motion of the LV's mid-wall during systole from tagged MRI data based on a few parameter functions. Furthermore, by plotting the variations over time of the extracted LV model parameters from normal and abnormal heart data along the long axis, the authors are able to quantitatively characterize their differences.
作者提出了一种新的方法，用于从标记的磁共振成像（MRI）数据中分析心脏左心室（LV）的运动。他们的技术基于开发一类新的基于物理的可变形模型，其参数是函数。这些模型允许定义新的参数化基元和参数化变形，从而可以捕获复杂对象的局部形状变化。此外，这些参数直观，不需要复杂的后处理即可由医生使用。使用基于物理的方法，作者将几何模型转换为动态模型，这些模型由于来自数据点的力而变形，并与给定的数据集一致。作者提出了一些涉及从标记的 MRI 数据中提取收缩期 LV 中壁的形状和运动的实验，这些实验基于几个参数函数。此外，通过沿长轴绘制从正常和异常心脏数据中提取的 LV 模型参数随时间的变化，可以定量地描述它们的差异。
