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Alinhamento Automático de Imagens de Cintilografia Miocárdica Através da Combinação de Técnicas de Processamento de Imagens

机译:结合图像处理技术自动对准心肌闪烁图像

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The acute myocardial infarction (AMI) is considered the main cause of ischemic heart syndrome, one of the first causes of death in developed countries. One effective way to realize follow-up on patient that suffered AMI is the analysis of polar maps. This work presents an automated registration technique for myocardial scintigraphy images. The purpose of this algorithm is the positioning of the SPECT image according to a known pattern, allowing the automatic creation of bull's-eye maps for easier visualization. The developed method for the structure based registration utilizes different image processing techniques, like thresholding and feature extraction, to improve the result of the model based image registration. After the model based image registration, a technique for rotation adjustment in both long axes was applied, where the wall of the myocardium is detected based on its shape. Following, the technique for rotation adjustment in the short axis was applied, using information obtained through the SIFT technique. The proposed technique was appraised through comparison with the ideal alignment realized manually in 15 cases of patients with and without heart defect. The rate of success obtained was roughly 86% for the analyzed cases. The results obtained indicate that the proposed techniques were capable of realizing the registration automatically, even though using methods that have little computational costs.
机译:急性心肌梗塞(AMI)被认为是缺血性心脏病综合征的主要原因,而发达国家是最先导致死亡的原因之一。对患有AMI的患者进行随访的一种有效方法是分析极谱图。这项工作提出了一种用于心肌闪烁显像图像的自动配准技术。该算法的目的是根据已知模式对SPECT图像进行定位,从而可以自动创建靶心图,以便于可视化。基于结构的配准的开发方法利用了不同的图像处理技术,例如阈值和特征提取,以改善基于模型的图像配准的结果。在基于模型的图像配准之后,应用了在两个长轴上进行旋转调整的技术,其中根据心肌的形状检测心肌壁。接下来,使用通过SIFT技术获得的信息,应用短轴旋转调整技术。通过与15例有或没有心脏缺陷的患者中手动实现的理想对位进行比较,评估了所提出的技术。对于分析的案例,获得的成功率大约为86%。获得的结果表明,即使使用计算成本很小的方法,所提出的技术也能够自动实现注册。

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