[HTML][HTML] Learning from scanners: Bias reduction and feature correction in radiomics

I Zhovannik, J Bussink, A Traverso, Z Shi… - Clinical and translational …, 2019 - Elsevier
… To investigate the influence of scanner SNR on radiomic features we used a commercial
phantom (Gammex 467 CT phantom, Middletone, WI, USA). The phantom was used in the …

Making radiomics more reproducible across scanner and imaging protocol variations: a review of harmonization methods

SA Mali, A Ibrahim, HC Woodruff… - Journal of personalized …, 2021 - mdpi.com
radiomic hypothesis postulates that the quantitative study of … the need for reconstruction
which adds bias and variability [56,59]. … against different test-retest and attenuation correction

How can we combat multicenter variability in MR radiomics? Validation of a correction procedure

F Orlhac, A Lecler, J Savatovski, J Goya-Outi… - European …, 2021 - Springer
… The phantom data used in this study have been extracted … The realignment reduced the
systematic difference between … between the two scans) with 1.5-T and 3-T scanners, we showed …

[HTML][HTML] Key concepts, common pitfalls, and best practices in artificial intelligence and machine learning: focus on radiomics

B Koçak - Diagnostic and Interventional Radiology, 2022 - ncbi.nlm.nih.gov
… Please note the change of feature values following batch … or batch effects caused by scanner
models, acquisition protocols, … learning pipeline highlighting the recommended and biased

The stability of oncologic MRI radiomic features and the potential role of deep learning: A review

E Scalco, G Rizzo, A Mastropietro - Physics in Medicine & …, 2022 - iopscience.iop.org
… to standardize the radiomics workflow to reduce its variability. … The combination of bias field
correction, voxel interpolation … study, where radiomics was computed from different scanner, …

Harmonization strategies for multicenter radiomics investigations

R Da-Ano, D Visvikis, M Hatt - Physics in Medicine & Biology, 2020 - iopscience.iop.org
… A bias reduction and feature correction method relying on a … to identify radiomic features
biased and correctable in terms of scanner … In this study specifically on radiomics, features were …

Understanding sources of variation to improve the reproducibility of radiomics

B Zhao - Frontiers in oncology, 2021 - frontiersin.org
reduce variability in radiomics features (35) by scanning an … on 100 scanners using both
local and study-specified CT … the change in 89 radiomics features over 3 weeks (delta features) …

Validation of a method to compensate multicenter effects affecting CT radiomics

F Orlhac, F Frouin, C Nioche, N Ayache, I Buvat - Radiology, 2019 - pubs.rsna.org
… However, radiomics features are affected by CT scanner … or scanners can be corrected
for the protocol or scanner … (cohort 1 and cohort 2) were used in our study. The first set of …

A radiomics pipeline dedicated to Breast MRI: validation on a multi-scanner phantom study

MJ Saint Martin, F Orlhac, P Akl, F Khalid… - … Resonance Materials in …, 2021 - Springer
… To check that the ComBat method does not reduce the discriminative power of radiomic
features, we … The process we propose includes a bias field correction to reduce local/regional …

Radiomics, machine learning, and artificial intelligence—what the neuroradiologist needs to know

MW Wagner, K Namdar, A Biswas, S Monah, F Khalvati… - Neuroradiology, 2021 - Springer
… of interest and subsequently reduced and selected to convey … locations, or with different
operators or scanners [32, 33]. … in MR and CT images and bias field correction in MR images [34]. …