首页> 外文会议>V Latin American Congress on Biomedical Engineering >Alinhamento Automatico de Imagens de Cintilografia Miocardica Atraves da Combinacao de Tecnicas de Processamento de Imagens
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Alinhamento Automatico de Imagens de Cintilografia Miocardica Atraves da Combinacao de Tecnicas de Processamento de Imagens

机译:通过图像处理技术的组合自动对齐心肌闪烁图像

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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 partera, 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 Iittle computational costs.
机译:急性心肌梗死(AMI)被认为是缺血性心脏综合征的主要原因,是发达国家死亡的第一个原因之一。实现患者随访的一种有效方法是患有AMI的患者是极性地图的分析。这项工作提出了一种用于心肌闪烁图像的自动注册技术。该算法的目的是根据已知的Partera定位SPECT图像,允许自动创建牛眼图以便于可视化。基于结构的注册的开发方法利用不同的图像处理技术,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,施加了一种用于两个长轴旋转调节的技术,基于其形状检测心肌的壁。在使用通过SIFT技术获得的信息,应用用于短轴旋转调节的技术。通过在15例患者和没有心脏缺陷的患者中,通过手动实现的理想对准来评估所提出的技术。分析病例所获得的成功率大约是86%。所获得的结果表明,即使使用具有易于计算成本的方法,也能够自动实现注册的技术。

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