Computed tomography texture analysis

Computed tomography texture analysis (or CTTA) is a method to obtain new useful biomarkers that provide objective and quantitative assessment of tumor heterogeneity by analyzing the differences and patterns within the pixel values of an image. CTs can be worked with as a matrix of numbers, corresponding to Hounsfield units. Algorithms that perform mathematical operations on these matrices can reveal patterns and characteristics. There are over twenty texture analysis parameters which are standardized in radiomics

Parameters assessed may include

  1. grey-level frequency distribution: pixel intensity histograms
  2. mean intensity, threshold (percentage of pixels within a specified range)
  3. entropy (irregularity)
  4. standard deviation
  5. skewness (asymmetry)
  6. kurtosis (peakedness/flatness of pixel histogram)

Applications

Oncological applications
  • lesion characterization
  • pretreatment tumor assessment
  • response evaluation for tumors
Non-oncological applications
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Article information

rID: 56604
System: Oncology
Section: Approach, Physics
Synonyms or Alternate Spellings:
  • CTTA

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