Computed tomography texture analysis
Updates to Article Attributes
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was changed:
Computed tomography texture analysis (or CTTA) is a new useful biomarker that provides an objective and quantitative assessment of tumour heterogeneity by analysing the differences in the pixel values of an image.
Parameters assessed
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Graygray-level frequency distribution: pixel intensity histograms -
Meanmean intensity, threshold (percentage of pixels within a specified range) -
Entropyentropy (irregularity) -
Standardstandard deviation -
Skewnessskewness (asymmetry) -
Kurtosiskurtosis (peakedness/flatness of pixel histogram)
Applications
Oncological applications
- lesion characterisation
- pretreatment tumour assessment
- response evaluation for tumours
Non-oncological applications
- assessment of hepatic fibrosis and pulmonary fibrosis
-<li>-<!--[if !supportLists]--><!--[endif]-->Gray-level frequency distribution: pixel intensity histograms</li>-<li>-<!--[if !supportLists]--><!--[endif]-->Mean intensity, threshold (percentage of pixels within a specified range)</li>-<li>-<!--[if !supportLists]--><!--[endif]-->Entropy (irregularity)</li>-<li>-<!--[if !supportLists]--><!--[endif]-->Standard deviation</li>-<li>-<!--[if !supportLists]--><!--[endif]-->Skewness (asymmetry)</li>-<li>-<!--[if !supportLists]--><!--[endif]-->Kurtosis (peakedness/flatness of pixel histogram)</li>- +<li>gray-level frequency distribution: pixel intensity histograms</li>
- +<li>mean intensity, threshold (percentage of pixels within a specified range)</li>
- +<li>entropy (irregularity)</li>
- +<li>standard deviation</li>
- +<li>skewness (asymmetry)</li>
- +<li>kurtosis (peakedness/flatness of pixel histogram)</li>
-</li></ul><p> </p><p> </p>- +</li></ul>
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