Classification of Myocardial Infarcted Patients by Combining Shape and Motion Features

机译：通过组合形状和运动特征分类心肌梗塞患者

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Myocardial infarction changes both the shape and motion of the heart. In this work, cardiac shape and motion features are extracted from shape models at ED and ES phases and combined to train a SVM classifier between myocardial infarcted cases and asymptomatic cases. Shape features are characterised by PCA coefficients of a shape model, whereas motion features include wall thickening and wall motion. Evaluated on the STACOM 2015 challenge dataset, the proposed method achieves a high accuracy of 97.5% for classification, which shows that shape and motion features can be useful biomarkers for myocardial infarction, which provide complementary information to late-gadolinium MR assessment.

机译：心肌梗死改变了心脏的形状和运动。在这项工作中，从ED和ES阶段的形状模型中提取心形和运动特征，并组合以在心肌梗死病例和无症状病例之间训练SVM分类器。形状特征的特征在于形状模型的PCA系数，而运动特征包括壁厚和壁运动。在Datacom 2015挑战数据集上进行评估，该方法的分类达到97.5％的高精度，表明形状和运动特征可以是用于心肌梗塞的有用生物标志物，这为晚钆MR评估提供了互补信息。

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《International Workshop on Statistical Atlases and Computational Models of the Heart》|2016年||共6页
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Wenjia Bai; Ozan Oktay; Daniel Rueckert;
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中图分类 TP391.41-53;
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Classification of Myocardial Infarcted Patients by Combining Shape and Motion Features

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