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Introduction to Radiomics

Marius E. MayerhoeferDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, AustriaAndrzej MaterkaInstitute of Electronics, Lodz University of Technology, Lodz, PolandGeorg LangsDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, AustriaIda HäggströmDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New YorkPiotr M. SzczypińskiInstitute of Electronics, Lodz University of Technology, Lodz, PolandPeter GibbsDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, New YorkGary CookCancer Imaging Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; and
2020en
ABI

Аннотация

Radiomics is a rapidly evolving field of research concerned with the extraction of quantitative metrics-the so-called radiomic features-within medical images. Radiomic features capture tissue and lesion characteristics such as heterogeneity and shape and may, alone or in combination with demographic, histologic, genomic, or proteomic data, be used for clinical problem solving. The goal of this continuing education article is to provide an introduction to the field, covering the basic radiomics workflow: feature calculation and selection, dimensionality reduction, and data processing. Potential clinical applications in nuclear medicine that include PET radiomics-based prediction of treatment response and survival will be discussed. Current limitations of radiomics, such as sensitivity to acquisition parameter variations, and common pitfalls will also be covered.

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