Hello. I 've read a few articles regarding the Harmonization at feature level in Radiomics. The reason for using Harmonization methods is the need to remove the variability in Radiomic feature values () which is the result of the technical variability across scans, including heterogeneity in the imaging protocol, variations in the scanning parameters and differences in the scanner manufacturers. By harmonizing the Radiomic features, it is possible to combine large-scale imaging studies to increase the power of statistical analyses to test common biological hypothesis. There are several Harmonization methods [1] such as ComBat, global scaling and functional normalization. Some like ComBat was initially used as a harmonization method for genomic features. Is harmonization also applied in the case of Pathomic features?
[1] Fortin, J. P., Parker, D., Tunç, B., Watanabe, T., Elliott, M. A., Ruparel, K., ... & Schultz, R. T. (2017). Harmonization of multi-site diffusion tensor imaging data. Neuroimage, 161, 149-170.
Actually, Most radiomic features depend on the data acquisition settings, including the scanner brand, the imaging and image reconstruction, and voxel size settings. It is therefore recommended to study radiomic features from images that have been acquired using the exact same scanner and protocol settings. If this is not possible, and if you want to combine radiomic features obtained using different settings in a single analysis, some feature harmonization should be performed.
Here is the link for your information and knowledge,
https://www.lifexsoft.org/index.php/resources/21-texture/feature-harmonization
Thanks.
Thank you for your response. Can feature harmonization be applied on Pathomic features?
Did you find the appearance of the Laplac equation by integrating the differential form along the normal current?
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