Radiomics process (diagram)
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Extracting radiomics data from images. (a) Tumors are different. Example computed tomography (CT) images of lung cancer patients. CT images with tumor contours left, three-dimensional visualizations right. Please note strong phenotypic differences that can be captured with routine CT imaging, such as intratumour heterogeneity and tumor shape. (b) Strategy for extracting radiomics data from images. (I) Experienced physicians contour the tumor areas on all CT slices. (II) Features are extracted from within the defined tumor contours on the CT images, quantifying tumor intensity, shape, texture and wavelet texture. (III) For the analysis the radiomics features are compared with clinical data and gene-expression data.
Author: Aerts H et al
Original file: https://www.nature.com/articles/ncomms5006
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- Hugo J. W. L. Aerts, Emmanuel Rios Velazquez, Ralph T. H. Leijenaar, Chintan Parmar, Patrick Grossmann, Sara Carvalho, Johan Bussink, René Monshouwer, Benjamin Haibe-Kains, Derek Rietveld, Frank Hoebers, Michelle M. Rietbergen, C. René Leemans, Andre Dekker, John Quackenbush, Robert J. Gillies, Philippe Lambin. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nature Communications. 5: 4006. doi:10.1038/ncomms5006