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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鼠模型中自动心肌梗死尺寸提取

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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:诱发缺血性损伤的实验啮齿动物模型已在生物医学研究被广泛用于研究以下myocar拨号梗死分子,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疗法的潜力,用于损坏的心脏功能恢复。这些研究基于心肌梗塞诱导,然后进行不同的治疗干预和随后的梗塞大小分析。该分析用于评估这种干预措施符合丢失的心肌组织的程度的程度。 Infarct大小定义为受冠状动脉闭塞影响的左心室的百分比。传统上估计梗塞大小手动描绘切除的心脏左心室内的梗塞和正常组织区域。然而,这是一个耗时,艰巨,易于偏见的过程。在此,我们开发了一种解剖模型,通过期望最大化调整,其允许全自动分析数据。进行实验验证,比较了手动注释的建议方法。通过解剖模型适应获得的结果与手动获得的那些相干,并且从未高于10%的差异。

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