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

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference(2011)

Cited 4|Views10
No score
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.
More
Translated text
Key words
biomedical mri,bone,diseases,entropy,image texture,medical image processing,2d image texture,3d image texture,cartilage related bone marrow edema,fluid sensitive fat suppressed mri image,histogram based texture,image smoothness,image uniformity,knee mri,mean intensity,quantitative texture analysis,standard deviation,third moment,histograms,magnetic resonance image,three dimensional,fluids,magnetic resonance imaging,image segmentation
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined