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首页> 外文会议>International conference on nextGen electronic technologies - silicon to software >Analysis of Myocardial Ischemia from Cardiac Magnetic Resonance Images Using Adaptive Fuzzy-Based Multiphase Level Set
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Analysis of Myocardial Ischemia from Cardiac Magnetic Resonance Images Using Adaptive Fuzzy-Based Multiphase Level Set

机译：采用自适应模糊多相水平集中心肌缺血的心肌缺血分析

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In this research work, cardiac magnetic resonance (CMR) images are analyzed to study the pathophysiology of myocardial ischemia (MI). It is a cardiac disorder that causes irreversible damage to heart muscles. The images considered for this study are obtained from medical image computing and computer-assisted intervention (MICCAI) database. Adaptive fuzzy-based multiphase level set method is utilized to extract endocardium and epicardium of left ventricle from short-axis view of CMR images. The segmentation results are validated with similarity measures such as Dice coefficient and Jaccard index. Further, five indices are derived from the segmentation results. The obtained results provide average Dice coefficient for endocardium and epicardium as 0.867 and 0.918, respectively. The mean Jaccard index for epicardium and endocardium is 0.855 and 0.766, respectively. It is observed that the proposed method segments the left ventricle more precisely from CMR images. The ischemic subjects show a reduced mean ejection fraction (32.52) compared to the normal subjects (59.04). The average stroke volume is found to be 70.16 and 64.05 ml for healthy subjects and ischemic subjects, respectively. Reduction in stroke volume and ejection fraction for ischemic subjects indicates lower quantity of blood drained by heart. It is also observed that there is an increase in myocardial mass for ischemic subjects (182.11 g) compared to healthy subjects (127.47 g). The thickened heart muscle contributes to the increased myocardial mass in abnormal subjects. Further, ischemic subjects show an increase in endocardium volume at end-diastolic and end-systolic phase when compared to normal subjects. Thus, the clinical indices evaluated from adaptive fuzzy-based multiphase level set method could differentiate the normal and ischemic subjects. Hence, this study can be a useful supplement in diagnosis of myocardial ischemic disorder.
机译：在该研究工作中，分析了心脏磁共振（CMR）图像以研究心肌缺血（MI）的病理生理学。它是一种心脏病，导致心肌损伤不可逆转。考虑本研究的图像是从医学图像计算和计算机辅助干预（MICCAI）数据库获得的。基于自适应模糊的多相水平集合方法用于从CMR图像的短轴视图中提取左心室的内膜内容和表皮。分段结果以相似性措施（如骰子系数和Jaccard指标）验证。此外，来自分段结果的五个索引。所得结果分别为心内膜和外膜的平均骰子系数分别为0.867和0.918。心外膜和内膜的平均jaccard指标分别为0.855和0.766。观察到，所提出的方法将左心室更精确地从CMR图像中更精确地区段。与正常受试者相比，缺血受试者表现出平均喷射部分（32.52）（59.04）。对于健康受试者和缺血受试者，分别发现平均卒中体积为70.16和64.05ml。缺血受试者的中风体积和喷射级分的降低表明心脏排出的血液量较低。还观察到，与健康受试者（127.47g）相比，缺血受试者的心肌肿块（182.11g）增加。增厚的心肌有助于异常受试者的心肌肿块增加。此外，与正常受试者相比，缺血受试者表现出在舒张末期和末端收缩相时的心内膜体积增加。因此，从自适应模糊的多相水平集法评估的临床指标可以区分正常和缺血性受试者。因此，该研究可以是诊断心肌缺血性疾病的有用补充。

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