Noise-Based Image Harmonization Significantly Increases Repeatability and Reproducibility of Radiomics Features in PET Images: A Phantom Study
- Supplementary File 1:
ZIP-Document (ZIP, 2998 KiB)
Keller, H.; Shek, T.; Driscoll, B.; Xu, Y.; Nghiem, B.; Nehmeh, S.; Grkovski, M.; Schmidtlein, C.R.; Budzevich, M.; Balagurunathan, Y.; Sunderland, J.J.; Beichel, R.R.; Uribe, C.; Lee, T.-Y.; Li, F.; Jaffray, D.A.; Yeung, I. Noise-Based Image Harmonization Significantly Increases Repeatability and Reproducibility of Radiomics Features in PET Images: A Phantom Study. Tomography 2022, 8, 1113-1128. https://doi.org/10.3390/tomography8020091
Keller H, Shek T, Driscoll B, Xu Y, Nghiem B, Nehmeh S, Grkovski M, Schmidtlein CR, Budzevich M, Balagurunathan Y, Sunderland JJ, Beichel RR, Uribe C, Lee T-Y, Li F, Jaffray DA, Yeung I. Noise-Based Image Harmonization Significantly Increases Repeatability and Reproducibility of Radiomics Features in PET Images: A Phantom Study. Tomography. 2022; 8(2):1113-1128. https://doi.org/10.3390/tomography8020091
Chicago/Turabian StyleKeller, Harald, Tina Shek, Brandon Driscoll, Yiwen Xu, Brian Nghiem, Sadek Nehmeh, Milan Grkovski, Charles R. Schmidtlein, Mikalai Budzevich, Yoganand Balagurunathan, John J. Sunderland, Reinhard R. Beichel, Carlos Uribe, Ting-Yim Lee, Fiona Li, David A. Jaffray, and Ivan Yeung. 2022. "Noise-Based Image Harmonization Significantly Increases Repeatability and Reproducibility of Radiomics Features in PET Images: A Phantom Study" Tomography 8, no. 2: 1113-1128. https://doi.org/10.3390/tomography8020091