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Studies on tissue characterization by texture analysis with co-occurrence matrix method using ultrasonography and CT
Yi Wang1, Kouichi Itoh1, Nobuyuki Taniguchi1
1Department of Clinical Pathology, Jichi Medical School, 3311-1 Yakushiji, Minamikawachi-machi, 329-0498, Kawachi-gun, Tochigi, Japan.
Texture analysis effectively differentiates between normal and diseased organs, including livers and lungs. This method shows promise for analyzing medical images and classifying pathological conditions based on texture features.
Area of Science:
- Medical Imaging
- Image Analysis
- Radiology
Background:
- Texture analysis is a quantitative method for image assessment.
- Co-occurrence matrix is a common technique for texture analysis.
Purpose of the Study:
- To evaluate the efficacy of texture analysis using the co-occurrence matrix method.
- To analyze ultrasonograms of normal and diseased livers.
- To analyze X-ray CT images of normal lungs and lungs with idiopathic interstitial pneumonia.
Main Methods:
- Texture analysis with co-occurrence matrix method was applied to ultrasonograms and CT images.
- Subjects included normal, fatty, and cirrhotic livers, and normal lungs and lungs with idiopathic interstitial pneumonia.
- Image analysis was performed under standardized conditions.
Main Results:
- While normal and diseased liver groups showed no significant difference, variations in fibrosis grade and nodule size in cirrhotic livers yielded different Fisher ratios.
- Significant differences were observed between normal lungs and lungs affected by idiopathic interstitial pneumonia.
- Texture analysis demonstrated potential in differentiating pathological grades in liver lesions and classifying lung CT images.
Conclusions:
- Texture analysis using the co-occurrence matrix method can differentiate between various pathological grades in liver and lung diseases.
- This technique shows potential for classifying medical images based on pathological characteristics.
- Further research may establish texture analysis as a valuable tool in diagnostic imaging.
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