Luo Guo, Heng Pheng Ann
Department of Mathematics, The Ohio State University, Columbus, OH 43210, USA.
IEEE Trans Inf Technol Biomed. 2005 Sep;9(3):430-46. doi: 10.1109/titb.2005.847508.
In this paper, we extend a previous work by J. Park and propose a uniform framework to reconstruct left ventricle (LV) geometry/motion from tagged MR images. In our work, the LV is modeled as a generalized prolate spheroid, and its motion is decomposed into four components-global translation, polar radial/z-axis compression, twisting, and bending. By formulating model parameters as tensor products of B-splines, we develop efficient algorithms to quickly reconstruct LV geometry/motion from extracted boundary contours and tracked planar tags. Experiments on both synthesized and in vivo data are also reported.
在本文中，我们扩展了J. Park之前的工作，并提出了一个统一的框架，用于从标记的磁共振（MR）图像重建左心室（LV）的几何形状/运动。在我们的工作中，左心室被建模为一个广义长球体，其运动被分解为四个分量——全局平移、极向径向/z轴压缩、扭转和弯曲。通过将模型参数公式化为B样条的张量积，我们开发了高效的算法，以从提取的边界轮廓和跟踪的平面标记快速重建左心室的几何形状/运动。还报告了在合成数据和体内数据上的实验。
