LV Motion and Strain Computation from tMRI Based on Meshless Deformable Models

LV Motion and Strain Computation from tMRI Based on Meshless Deformable Models
复制标题

DOI:
10.1007/978-3-540-85988-8_76
复制
发表时间:
2008-09
期刊:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
影响因子:
--
通讯作者:
Xiaoxu Wang;Ting Chen;Shaoting Zhang;Dimitris N. Metaxas;L. Axel
Xiaoxu Wang;Ting Chen;Shaoting Zhang;Dimitris N. Metaxas;L. Axel
中科院分区:
其他
文献类型:
--
作者:
Xiaoxu Wang;Ting Chen;Shaoting Zhang;Dimitris N. Metaxas;L. Axel

文献摘要

被引文献

相似文献

提出了一种新的基于标记磁共振成像(TMRI)的无网格可变形模型,用于活体左心室(LV)三维运动估计和分析。无网格可变形模型可以用较少的参数捕捉整体变形,如收缩和扭转,而局部变形则用拉普拉斯表示。特别是,即使在控制点(标签交点)相对稀疏的情况下,该模型也能很好地执行。我们在一个数字体模上以及在健康受试者和患者的活体心脏数据上测试了无网格模型的性能。实验结果表明,该无网格变形模型能够较好地恢复心肌三维运动和应变。
We propose a novel meshless deformable model forin vivoLeft Ventricle (LV) 3D motion estimation and analysis based on tagged MRI (tMRI). The meshless deformable model can capture global deformations such as contraction and torsion with a few parameters, while track local deformations with Laplacian representation. In particular, the model performs well even when the control points (tag intersections) are relatively sparse. We test the performance of the meshless model on a numeric phantom, as well asin vivoheart data of healthy subjects and patients. The experimental results show that the meshless deformable model can fully recover the myocardial motion and strain in 3D.