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[利用二维超声心动图图像的定量纹理分析进行心肌炎的超声诊断]

[Ultrasound sonographic diagnosis of myocarditis using quantitative texture analysis of 2-dimensional echocardiography images].

作者信息

Lieback E, Meyer R, Romaniuk P, Vilser J, Geissler W, Förster A, Nawrocki M, Linss G

机构信息

Klinik für Innere Medizin, Humboldt-Universität zu Berlin.

出版信息

Z Gesamte Inn Med. 1989 Aug 15;44(16):484-7.

PMID:2815894
Abstract

In a prospective study we tested the possibility to differentiate myocardial tissue by means of the quantitative texture analysis of two-dimensional echocardiographic images. 12 patients with a bioptically ascertained myocarditis and 12 healthy patients of a control group were echocardiographically examined. The results demonstrated that the echocardiographic image texture in myocarditis is characterized by an increase of the texture parameters entropy, second difference moment and long-run emphasis as well as by a decrease of the parameters angular second moment, inverse difference moment and run-length nonuniformity as well as by different values of the ring and sector sums of the power spectre. The digital image processing of echocardiography images seems thus to open a new way to the noninvasive diagnostic of myocarditis.

摘要

在一项前瞻性研究中,我们测试了通过二维超声心动图图像的定量纹理分析来区分心肌组织的可能性。对12例经活检确诊为心肌炎的患者和12例健康对照组患者进行了超声心动图检查。结果表明,心肌炎患者的超声心动图图像纹理特征为纹理参数熵、二阶差分矩和长游程强调增加,以及角二阶矩、逆差分矩和游程长度非均匀性参数降低,以及功率谱的环和扇区和值不同。因此,超声心动图图像的数字图像处理似乎为心肌炎的无创诊断开辟了一条新途径。

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