Department of Computer Science, National University of Singapore (NUS), Singapore. Electronic address: https://sites.google.com/site/mahsapaknezhad89/.
Department of Electrical Engineering and Computer Science, York University, Canada.
Comput Methods Programs Biomed. 2020 Feb;184:105128. doi: 10.1016/j.cmpb.2019.105128. Epub 2019 Oct 9.
Tagged MR images provide an effective way for regional analysis of the myocardium strain. A reliable myocardium strain analysis requires both correct segmentation and accurate motion tracking of the myocardium during the cardiac cycle. While many algorithms have been proposed for accurate tracking of the myocardium in tagged MR images, little focus has been placed on ensuring correct segmentation of the tagged myocardium during the cardiac cycle. Myocardial strain analysis is usually done by segmenting the myocardium in end-diastole, generating a mesh from the segmentation, propagating the mesh through the cardiac cycle using the output deformation field from motion tracking, and measuring strain on the deforming mesh. Due to the imposed tag strips on the anatomy, identification of the myocardium boundaries is challenging in tagged MR images. As a result, there is no guarantee that the propagated mesh is annotating the myocardium accurately through the cardiac cycle. Moreover, clinical studies indicate that incorrect myocardium annotation can result in overestimation of myocardial strains.
We introduce a method to improve reliability of strain analysis by proposing a mesh which correctly segments the myocardium in tagged MRI by leveraging the available cine MRI segmentation. In particular, we generate a series of mesh proposals using the cine MRI segmentation and find the propagated mesh proposal which gives the most accurate full-cycle myocardium segmentation.
The mesh selection algorithm was tested on 22 2D MRI scans of diseased and healthy hearts. The proposed algorithm provided more accurate whole-cycle myocardium segmentation compared to the propagated end-diastolic mesh. Regional myocardium strain was measured for 10 3D MRI scans of healthy volunteers using the proposed mesh and the end-diastolic mesh. The measured strain using the proposed mesh was more similar to the expected myocardium strain for a healthy heart than the measured strain using the end-diastolic mesh.
The proposed approach provides accurate whole-cycle tagged myocardium segmentation and more reliable myocardium strain analysis.
标记磁共振成像(MRI)可提供一种有效的心肌应变区域分析方法。可靠的心肌应变分析需要在心脏周期内正确分割心肌并准确跟踪心肌运动。尽管已经提出了许多用于准确跟踪标记 MRI 中心肌的算法,但很少关注确保在心脏周期内正确分割标记心肌。心肌应变分析通常是通过在舒张末期分割心肌来完成的,从分割中生成网格,通过运动跟踪的输出变形场将网格传播到心脏周期中,并在变形网格上测量应变。由于在解剖结构上施加了标记带,因此在标记 MRI 中识别心肌边界具有挑战性。因此,无法保证传播的网格在整个心脏周期内准确地标记心肌。此外,临床研究表明,不正确的心肌注释可能导致心肌应变高估。
我们通过提出一种利用可用电影 MRI 分割来正确分割标记 MRI 中心肌的网格的方法来提高应变分析的可靠性。特别是,我们使用电影 MRI 分割生成一系列网格提案,并找到最准确的全周期心肌分割的传播网格提案。
网格选择算法在 22 例患病和健康心脏的 2D MRI 扫描上进行了测试。与传播的舒张末期网格相比,所提出的算法提供了更准确的全周期心肌分割。使用所提出的网格和舒张末期网格对 10 例健康志愿者的 3D MRI 扫描进行了局部心肌应变测量。与使用舒张末期网格测量的应变相比,使用所提出的网格测量的应变与健康心脏的预期心肌应变更相似。
所提出的方法提供了准确的全周期标记心肌分割和更可靠的心肌应变分析。