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Automatic myocardial infarction size extraction in an experimental murine model using an anatomical model

机译:使用解剖模型在实验性小鼠模型中自动提取心肌梗塞大小

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Experimental rodent models of induced ischemic injury have been extensively used in biomedical research to study molecular, cellular and histological alterations following myocar-dial infarction. These models are increasingly employed to assess the potential of newly developed therapies for functional restoration of the damaged heart. Such studies are based on myocardial infarction induction followed by different therapeutic interventions and subsequent analysis of the infarct size. This analysis is used to evaluate the extent to which such interventions meet recovery of the lost myocardial tissue. Infarct size is defined as the percentage of the left ventricle affected by coronary artery occlusion. The infarct size is traditionally estimated manually delineating the infarcted and normal tissue areas in the left ventricle of the excised heart. However, this is a time-consuming, arduous and prone to bias process. Herein, we developed an anatomic model, adapted through expectation maximization, which allows for fully automatic analysis of the data. Experimental validation is performed comparing the proposed approach with manual annotation. The results obtained through anatomical model adaptation were coherent with those manually obtained and the differences where never higher than 10%.
机译:诱发性缺血性损伤的实验啮齿动物模型已广泛用于生物医学研究,以研究心肌梗塞后的分子,细胞和组织学改变。这些模型越来越多地用于评估新开发的治疗方法,用于受损心脏的功能恢复。此类研究基于心肌梗塞的诱发,随后的不同治疗干预以及随后对梗塞面积的分析。该分析用于评估此类干预满足丢失的心肌组织恢复的程度。梗塞面积定义为受冠状动脉闭塞影响的左心室百分比。传统上,人工估计梗塞面积,以描绘出被切除心脏左心室中的梗塞和正常组织区域。但是,这是一个耗时,艰巨且容易产生偏差的过程。在这里,我们开发了一个解剖模型,通过期望最大化进行调整,从而可以对数据进行全自动分析。通过将提出的方法与手动注释进行比较,进行了实验验证。通过解剖模型适应获得的结果与手动获得的结果一致,并且差异永远不会高于10%。

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