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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556104 | PMC |
| http://dx.doi.org/10.1097/CORR.0000000000002408 | DOI Listing |
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Article Synopsis
- Research shows that MRI, CT, and PET images can potentially be re-identified using facial recognition, but de-facing software significantly reduces this risk.
- The study analyzed various MRI sequences and found that while certain types like 3D T1-weighted and T2-FLAIR have high re-identification rates (up to 98%), others like diffusion and functional MRI showed minimal re-identification risk (0-8%).
- Applying high-quality de-facing software can lower re-identification chances to less than 8% with negligible impact on automated measurements, suggesting that some types of MRI can be shared without de-facing if certain conditions are met.
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