基于模糊软阈值算法的MR心肌纤维化提取

2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2016-07-10 DOI:10.1109/IIAI-AAI.2016.143

J. Kubícek, I. Bryjova, M. Penhaker, M. Augustynek

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引用次数: 2

摘要

本文讨论了心肌纤维化的复杂分析。心肌纤维化通过MRI进行标准检查。MRI生成的图像数据具有较高的分辨率，但数据是单色的。由于这个事实，从图像中识别单个物体是复杂的。此外，目前还没有一种临床软件能够在心肌纤维化提取区域意义上客观化检查。该算法允许将心肌纤维化区域转换为彩色尺度，从而建立心肌纤维化的数学模型。心肌纤维化的数学模型能较好地识别观察对象的面积和表现。所提出的分割程序为临床医生在评估诊断的背景下提供有效的反馈。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Extraction of Myocardial Fibrosis from MR Using Fuzzy Soft Thresholding Algorithm

The article deals with complex analysis of myocardial fibrosis. Myocardial fibrosis is standardly examined by MRI. MRI generates image data with higher resolution but data are monochromatic. Due to this fact it is complicated to recognize individual object from images. Furthermore there is not any clinical software which would be able to objectify examination in the sense of extraction area of myocardial fibrosis. The proposed algorithm allows transformation area of myocardial fibrosis to color scale and thus it creates mathematical model of fibrosis. Mathematical model of myocardial fibrosis conclusively recognize area and manifestation of observed object. The proposed segmentation procedure serves for effective feedback for clinicians in the context assessing diagnosis.

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2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)

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