Implementation and validation of face de-identification (de-facing) in ADNI4.

ADNI anonymization de‐facing de‐identification face recognition

Journal

Alzheimer's & dementia : the journal of the Alzheimer's Association
ISSN: 1552-5279
Titre abrégé: Alzheimers Dement
Pays: United States
ID NLM: 101231978

Informations de publication

Date de publication:
11 Oct 2024
Historique:
revised: 03 09 2024
received: 03 05 2024
accepted: 10 09 2024
medline: 11 10 2024
pubmed: 11 10 2024
entrez: 11 10 2024
Statut: aheadofprint

Résumé

Recent technological advances have increased the risk that de-identified brain images could be re-identified from face imagery. The Alzheimer's Disease Neuroimaging Initiative (ADNI) is a leading source of publicly available de-identified brain imaging, who quickly acted to protect participants' privacy. An independent expert committee evaluated 11 face-deidentification ("de-facing") methods and selected four for formal testing. Effects of de-facing on brain measurements were comparable across methods and sufficiently small to recommend de-facing in ADNI. The committee ultimately recommended mri_reface for advantages in reliability, and for some practical considerations. ADNI leadership approved the committee's recommendation, beginning in ADNI4. ADNI4 de-faces all applicable brain images before subsequent pre-processing, analyses, and public release. Trained analysts inspect de-faced images to confirm complete face removal and complete non-modification of brain. This paper details the history of the algorithm selection process and extensive validation, then describes the production workflows for de-facing in ADNI. ADNI is implementing "de-facing" of MRI and PET beginning in ADNI4. "De-facing" alters face imagery in brain images to help protect privacy. Four algorithms were extensively compared for ADNI and mri_reface was chosen. Validation confirms mri_reface is robust and effective for ADNI sequences. Validation confirms mri_reface negligibly affects ADNI brain measurements.

Identifiants

pubmed: 39392215
doi: 10.1002/alz.14303
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIA NIH HHS
ID : R01AG068206
Pays : United States
Organisme : NIA NIH HHS
ID : RF1AG056014
Pays : United States
Organisme : NIA NIH HHS
ID : R01AG474069
Pays : United States
Organisme : NIA NIH HHS
ID : P30AG072979
Pays : United States
Organisme : NIA NIH HHS
ID : R01AG070592
Pays : United States

Informations de copyright

© 2024 The Author(s). Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.

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Auteurs

Christopher G Schwarz (CG)

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Mark Choe (M)

Northern California Institute for Research and Education, San Francisco Veterans Affairs Medical Center, San Francisco, California, USA.

Stephanie Rossi (S)

Department of Radiology, University of California, San Francisco, San Francisco, California, USA.

Sandhitsu R Das (SR)

Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Ranjit Ittyerah (R)

Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Evan Fletcher (E)

Department of Neurology, University of California, Davis, Davis, California, USA.

Pauline Maillard (P)

Department of Neurology, University of California, Davis, Davis, California, USA.

Baljeet Singh (B)

Department of Neurology, University of California, Davis, Davis, California, USA.

Danielle J Harvey (DJ)

Division of Biostatistics Department of Public Health Sciences, , University of California, Davis, Davis, California, USA.

Ian B Malone (IB)

Dementia Research Centre, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, UK.

Lloyd Prosser (L)

Dementia Research Centre, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, UK.

Matthew L Senjem (ML)

Department of Information Technology, Mayo Clinic, Rochester, Minnesota, USA.

Leonard C Matoush (LC)

Department of Information Technology, Mayo Clinic, Rochester, Minnesota, USA.

Chadwick P Ward (CP)

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Carl M Prakaashana (CM)

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Susan M Landau (SM)

Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, USA.

Robert A Koeppe (RA)

Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA.

JiaQie Lee (J)

Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, USA.

Charles DeCarli (C)

Department of Neurology, University of California, Davis, Davis, California, USA.

Michael W Weiner (MW)

Department of Radiology, University of California, San Francisco, San Francisco, California, USA.

Clifford R Jack (CR)

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

William J Jagust (WJ)

Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, USA.

Paul A Yushkevich (PA)

Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Duygu Tosun (D)

Northern California Institute for Research and Education, San Francisco Veterans Affairs Medical Center, San Francisco, California, USA.
Department of Radiology, University of California, San Francisco, San Francisco, California, USA.

Classifications MeSH