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用于检测软骨相关骨髓水肿的MRI图像定量纹理分析

Quantitative texture analysis of MRI images for detection of cartilage-related bone marrow edema.

作者信息

Chuah Tong Kuan, Poh Chueh Loo, Sheah Kenneth

机构信息

Division of Bioengineering, Nanyang Technological University, Singapore.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:5112-5. doi: 10.1109/IEMBS.2011.6091266.

DOI:10.1109/IEMBS.2011.6091266
PMID:22255489
Abstract

This paper presents a study that investigated the potential of texture analysis using Fluid Sensitive Fat Suppressed MRI images for the use in detection of bone marrow edema. A total of 168 slices of knee MRI from 10 subjects were involved. Six histogram-based textures (mean intensity, standard deviation, smoothness, third moment, uniformity and entropy) were calculated in both 2D and 3D, and were compared between healthy group and group affected by bone marrow edema. Two-sample t-tests were performed to assess the difference between healthy group and group affected by edema. The intensity third moment in 2D showed significant difference between the slices of healthy subjects and the slices affected by edema (p<0.05). Smoothness and standard deviation in 2D showed a modest significance between healthy and affected groups. No significant difference was found in the 3D textures of healthy group and group affected by edema.

摘要

本文介绍了一项研究,该研究调查了使用流体敏感脂肪抑制磁共振成像(MRI)图像进行纹理分析以检测骨髓水肿的潜力。共有来自10名受试者的168层膝关节MRI图像参与研究。在二维和三维中计算了六种基于直方图的纹理(平均强度、标准差、平滑度、三阶矩、均匀性和熵),并在健康组和受骨髓水肿影响的组之间进行了比较。进行两样本t检验以评估健康组和受水肿影响组之间的差异。二维强度三阶矩在健康受试者的切片和受水肿影响的切片之间显示出显著差异(p<0.05)。二维平滑度和标准差在健康组和受影响组之间显示出适度的显著性。在健康组和受水肿影响组的三维纹理中未发现显著差异。

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