Gilbert K, Lam H-I, Pontré B, Cowan B R, Occleshaw C J, Liu J Y, Young A A
Department of Anatomy with Radiology, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Clin Physiol Funct Imaging. 2017 Jul;37(4):413-420. doi: 10.1111/cpf.12319. Epub 2015 Nov 17.
Cardiac malformations are the most common birth defect. Better interventions in early life have improved mortality for children with congenital heart disease, but heart failure is a significant problem in adulthood. These patients require regular imaging and analysis of biventricular (left and right ventricular) function. In this study, we describe a rapid method to analyse left and right ventricular shape and function from cardiac MRI examinations. A 4D (3D+time) finite element model template is interactively customized to the anatomy and motion of the biventricular unit. The method was validated in 17 patients and 10 ex-vivo hearts. Interactive model updates were achieved through preconditioned conjugate gradient optimization on a multithread system, and by precomputing points predicted from a coarse mesh optimization.
心脏畸形是最常见的出生缺陷。早期更好的干预措施提高了先天性心脏病患儿的存活率,但心力衰竭在成年期仍是一个重大问题。这些患者需要定期进行双心室(左心室和右心室)功能的成像和分析。在本研究中,我们描述了一种从心脏磁共振成像(MRI)检查中分析左、右心室形状和功能的快速方法。一个4D(3D+时间)有限元模型模板可根据双心室单元的解剖结构和运动进行交互式定制。该方法在17例患者和10个离体心脏中得到了验证。通过在多线程系统上进行预处理共轭梯度优化,以及通过预先计算从粗网格优化预测的点,实现了交互式模型更新。