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Erschienen in:

26.11.2021 | Special Section: Quantitative Imaging

A primer on texture analysis in abdominal radiology

verfasst von: Natally Horvat, Joao Miranda, Maria El Homsi, Jacob J. Peoples, Niamh M. Long, Amber L. Simpson, Richard K. G. Do

Erschienen in: Abdominal Radiology | Ausgabe 9/2022

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Abstract

The number of publications on texture analysis (TA), radiomics, and radiogenomics has been growing exponentially, with abdominal radiologists aiming to build new prognostic or predictive biomarkers for a wide range of clinical applications including the use of oncological imaging to advance the field of precision medicine. TA is specifically concerned with the study of the variation of pixel intensity values in radiological images. Radiologists aim to capture pixel variation in radiological images to deliver new insights into tumor biology that cannot be derived from visual inspection alone. TA remains an active area of investigation and requires further standardization prior to its clinical acceptance and applicability. This review is for radiologists interested in this rapidly evolving field, who are thinking of performing research or want to better interpret results in this arena. We will review the main concepts in TA, workflow processes, and existing challenges and steps to overcome them, as well as look at publications in body imaging with external validation.

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Titel: A primer on texture analysis in abdominal radiology
verfasst von: Natally Horvat
Joao Miranda
Maria El Homsi
Jacob J. Peoples
Niamh M. Long
Amber L. Simpson
Richard K. G. Do
Publikationsdatum: 26.11.2021
Verlag: Springer US
Erschienen in: Abdominal Radiology / Ausgabe 9/2022
Print ISSN: 2366-004X
Elektronische ISSN: 2366-0058
DOI: https://doi.org/10.1007/s00261-021-03359-3

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A primer on texture analysis in abdominal radiology

Abstract

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