Semi-Automated Detection and Fractal Characterization of Myocardial Fibrosis in Histological Images

被引：0
作者：
Mayrhofer-Reinhartshuber, M. [1 ]
Kainz, P. [1 ]
Sanchez-Quintana, D. [2 ]
Macias, Y. [2 ]
Hofer, E. [1 ]
Ahammer, H. [1 ]
机构：
[1] Med Univ Graz, Inst Biophys, Graz, Austria
[2] Univ Extremadura, Dept Anat & Cell Biol, Badajoz, Spain
来源：
BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK | 2014年 / 59卷
关键词：
D O I：
10.1515/bmt-2014-4253
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Histological images of 14 human hearts were analyzed by semi-automated image analysis. An image set of 40 images was used to quantify the amount of myocardial fibrosis caused by structural ischemic heart disease. Two different segmentation algorithms were tested and compared, both showing comparable results with statistically significant (p<0.001) differences between the investigated groups. Fractal image analysis using a new and efficient pyramid method was applied to the segmented images and revealed a fractal dimension of (1.65 +/- 0.10) for the investigated myocardial fibrosis, which is in the same range as results obtained by fractal characterization of liver fibrosis.
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收藏
页码：S587 / +
页数：4
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