Teo Soo-Kng, Vos F J A, Tan Ru-San, Zhong Liang, Su Yi
Department of Computing Science, Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore
Department of Computing Science, Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore Technical Medicine, University of Twente, Maarn, The Netherlands.
J R Soc Interface. 2015 Apr 6;12(105). doi: 10.1098/rsif.2015.0006.
In this work, we present a method to assess left ventricle (LV) regional function from cardiac magnetic resonance (CMR) imaging based on the regional ejection fraction (REF) and regional area strain (RAS). CMR scans were performed for 30 patients after first-time myocardial infarction (MI) and nine age- and sex-matched healthy volunteers. The CMR images were processed to reconstruct three-dimensional LV geometry, and the REF and RAS in a 16-segment model were computed using our proposed methodology. The method of computing the REF was tested and shown to be robust against variation in user input. Furthermore, analysis of data was feasible in all patients and healthy volunteers without any exclusions. The REF correlated well with the RAS in a nonlinear manner (quadratic fit-R(2) = 0.88). In patients after first-time MI, the REF and RAS were significantly reduced across all 16 segments (REF: p < 0.05; RAS: p < 0.01). Moreover, the REF and RAS significantly decreased with the extent of transmural scar obtained from late gadolinium-enhanced CMR images. In addition, we show that the REF and RAS can be used to identify regions with compromised function in the patients with preserved global ejection fraction with reasonable accuracy (more than 78%). These preliminary results confirmed the validity of our approach for accurate analysis of LV regional function. Our approach potentially offers physicians new insights into the local characteristics of the myocardial mechanics after a MI.
在本研究中,我们提出了一种基于局部射血分数(REF)和局部面积应变(RAS),从心脏磁共振(CMR)成像评估左心室(LV)局部功能的方法。对30例首次心肌梗死(MI)后的患者和9名年龄及性别匹配的健康志愿者进行了CMR扫描。对CMR图像进行处理以重建三维左心室几何形状,并使用我们提出的方法计算16节段模型中的REF和RAS。计算REF的方法经过测试,结果表明其对用户输入的变化具有鲁棒性。此外,对所有患者和健康志愿者的数据进行分析都是可行的,无需排除任何对象。REF与RAS呈非线性良好相关(二次拟合 - R(2) = 0.88)。在首次心肌梗死后的患者中,所有16个节段的REF和RAS均显著降低(REF:p < 0.05;RAS:p < 0.01)。此外,REF和RAS随着从延迟钆增强CMR图像获得的透壁瘢痕范围显著降低。另外,我们表明,REF和RAS可用于以合理的准确度(超过78%)识别整体射血分数保留的患者中功能受损的区域。这些初步结果证实了我们用于准确分析左心室局部功能的方法的有效性。我们的方法可能为医生提供有关心肌梗死后心肌力学局部特征的新见解。