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A face-off of MRI research sequences by their need for de-facing

It is now widely known that research brain MRI, CT, and PET images may potentially be re-identified using face recognition, and this potential can be reduced by applying face-deidentification (“de-facing”) software. However, for research MRI sequences beyond T1-weighted (T1-w) and T2-FLAIR structura...

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Autores principales: Schwarz, Christopher G., Kremers, Walter K., Arani, Arvin, Savvides, Marios, Reid, Robert I., Gunter, Jeffrey L., Senjem, Matthew L., Cogswell, Petrice M., Vemuri, Prashanthi, Kantarci, Kejal, Knopman, David S., Petersen, Ronald C., Jack, Clifford R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10389782/
https://www.ncbi.nlm.nih.gov/pubmed/37269958
http://dx.doi.org/10.1016/j.neuroimage.2023.120199
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author Schwarz, Christopher G.
Kremers, Walter K.
Arani, Arvin
Savvides, Marios
Reid, Robert I.
Gunter, Jeffrey L.
Senjem, Matthew L.
Cogswell, Petrice M.
Vemuri, Prashanthi
Kantarci, Kejal
Knopman, David S.
Petersen, Ronald C.
Jack, Clifford R.
author_facet Schwarz, Christopher G.
Kremers, Walter K.
Arani, Arvin
Savvides, Marios
Reid, Robert I.
Gunter, Jeffrey L.
Senjem, Matthew L.
Cogswell, Petrice M.
Vemuri, Prashanthi
Kantarci, Kejal
Knopman, David S.
Petersen, Ronald C.
Jack, Clifford R.
author_sort Schwarz, Christopher G.
collection PubMed
description It is now widely known that research brain MRI, CT, and PET images may potentially be re-identified using face recognition, and this potential can be reduced by applying face-deidentification (“de-facing”) software. However, for research MRI sequences beyond T1-weighted (T1-w) and T2-FLAIR structural images, the potential for re-identification and quantitative effects of de-facing are both unknown, and the effects of de-facing T2-FLAIR are also unknown. In this work we examine these questions (where applicable) for T1-w, T2-w, T2*-w, T2-FLAIR, diffusion MRI (dMRI), functional MRI (fMRI), and arterial spin labelling (ASL) sequences. Among current-generation, vendor-product research-grade sequences, we found that 3D T1-w, T2-w, and T2-FLAIR were highly re-identifiable (96–98%). 2D T2-FLAIR and 3D multi-echo GRE (ME-GRE) were also moderately re-identifiable (44–45%), and our derived T2* from ME-GRE (comparable to a typical 2D T2*) matched at only 10%. Finally, diffusion, functional and ASL images were each minimally re-identifiable (0–8%). Applying de-facing with mri_reface version 0.3 reduced successful re-identification to ≤8%, while differential effects on popular quantitative pipelines for cortical volumes and thickness, white matter hyperintensities (WMH), and quantitative susceptibility mapping (QSM) measurements were all either comparable with or smaller than scan-rescan estimates. Consequently, high-quality de-facing software can greatly reduce the risk of re-identification for identifiable MRI sequences with only negligible effects on automated intracranial measurements. The current-generation echo-planar and spiral sequences (dMRI, fMRI, and ASL) each had minimal match rates, suggesting that they have a low risk of re-identification and can be shared without de-facing, but this conclusion should be re-evaluated if they are acquired without fat suppression, with a full-face scan coverage, or if newer developments reduce the current levels of artifacts and distortion around the face.
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spelling pubmed-103897822023-08-01 A face-off of MRI research sequences by their need for de-facing Schwarz, Christopher G. Kremers, Walter K. Arani, Arvin Savvides, Marios Reid, Robert I. Gunter, Jeffrey L. Senjem, Matthew L. Cogswell, Petrice M. Vemuri, Prashanthi Kantarci, Kejal Knopman, David S. Petersen, Ronald C. Jack, Clifford R. Neuroimage Article It is now widely known that research brain MRI, CT, and PET images may potentially be re-identified using face recognition, and this potential can be reduced by applying face-deidentification (“de-facing”) software. However, for research MRI sequences beyond T1-weighted (T1-w) and T2-FLAIR structural images, the potential for re-identification and quantitative effects of de-facing are both unknown, and the effects of de-facing T2-FLAIR are also unknown. In this work we examine these questions (where applicable) for T1-w, T2-w, T2*-w, T2-FLAIR, diffusion MRI (dMRI), functional MRI (fMRI), and arterial spin labelling (ASL) sequences. Among current-generation, vendor-product research-grade sequences, we found that 3D T1-w, T2-w, and T2-FLAIR were highly re-identifiable (96–98%). 2D T2-FLAIR and 3D multi-echo GRE (ME-GRE) were also moderately re-identifiable (44–45%), and our derived T2* from ME-GRE (comparable to a typical 2D T2*) matched at only 10%. Finally, diffusion, functional and ASL images were each minimally re-identifiable (0–8%). Applying de-facing with mri_reface version 0.3 reduced successful re-identification to ≤8%, while differential effects on popular quantitative pipelines for cortical volumes and thickness, white matter hyperintensities (WMH), and quantitative susceptibility mapping (QSM) measurements were all either comparable with or smaller than scan-rescan estimates. Consequently, high-quality de-facing software can greatly reduce the risk of re-identification for identifiable MRI sequences with only negligible effects on automated intracranial measurements. The current-generation echo-planar and spiral sequences (dMRI, fMRI, and ASL) each had minimal match rates, suggesting that they have a low risk of re-identification and can be shared without de-facing, but this conclusion should be re-evaluated if they are acquired without fat suppression, with a full-face scan coverage, or if newer developments reduce the current levels of artifacts and distortion around the face. 2023-08-01 2023-06-01 /pmc/articles/PMC10389782/ /pubmed/37269958 http://dx.doi.org/10.1016/j.neuroimage.2023.120199 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Article
Schwarz, Christopher G.
Kremers, Walter K.
Arani, Arvin
Savvides, Marios
Reid, Robert I.
Gunter, Jeffrey L.
Senjem, Matthew L.
Cogswell, Petrice M.
Vemuri, Prashanthi
Kantarci, Kejal
Knopman, David S.
Petersen, Ronald C.
Jack, Clifford R.
A face-off of MRI research sequences by their need for de-facing
title A face-off of MRI research sequences by their need for de-facing
title_full A face-off of MRI research sequences by their need for de-facing
title_fullStr A face-off of MRI research sequences by their need for de-facing
title_full_unstemmed A face-off of MRI research sequences by their need for de-facing
title_short A face-off of MRI research sequences by their need for de-facing
title_sort face-off of mri research sequences by their need for de-facing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10389782/
https://www.ncbi.nlm.nih.gov/pubmed/37269958
http://dx.doi.org/10.1016/j.neuroimage.2023.120199
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