Texture Analysis of Imaging: What Radiologists Need to Know

AJR Am J Roentgenol. 2019 Mar;212(3):520-528. doi: 10.2214/AJR.18.20624. Epub 2019 Jan 15.


Objective: Radiologic texture is the variation in image intensities within an image and is an important part of radiomics. The objective of this article is to discuss some parameters that affect the performance of texture metrics and propose recommendations that can guide both the design and evaluation of future radiomics studies.

Conclusion: A variety of texture-extraction techniques are used to assess clinical imaging data. Currently, no consensus exists regarding workflow, including acquisition, extraction, or reporting of variable settings leading to poor reproducibility.

Keywords: quantitative imaging; radiomics; texture.

Publication types

  • Review

MeSH terms

  • Humans
  • Image Processing, Computer-Assisted*
  • Radiography*