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A comparative study between state‐of‐the‐art MRI deidentification and AnonyMI, a new method combining re‐identification risk reduction and geometrical preservation
Deidentifying MRIs constitutes an imperative challenge, as it aims at precluding the possibility of re‐identification of a research subject or patient, but at the same time it should preserve as much geometrical information as possible, in order to maximize data reusability and to facilitate interop...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8559469/ https://www.ncbi.nlm.nih.gov/pubmed/34520074 http://dx.doi.org/10.1002/hbm.25639 |
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author | Mikulan, Ezequiel Russo, Simone Zauli, Flavia Maria d'Orio, Piergiorgio Parmigiani, Sara Favaro, Jacopo Knight, William Squarza, Silvia Perri, Pierluigi Cardinale, Francesco Avanzini, Pietro Pigorini, Andrea |
author_facet | Mikulan, Ezequiel Russo, Simone Zauli, Flavia Maria d'Orio, Piergiorgio Parmigiani, Sara Favaro, Jacopo Knight, William Squarza, Silvia Perri, Pierluigi Cardinale, Francesco Avanzini, Pietro Pigorini, Andrea |
author_sort | Mikulan, Ezequiel |
collection | PubMed |
description | Deidentifying MRIs constitutes an imperative challenge, as it aims at precluding the possibility of re‐identification of a research subject or patient, but at the same time it should preserve as much geometrical information as possible, in order to maximize data reusability and to facilitate interoperability. Although several deidentification methods exist, no comprehensive and comparative evaluation of deidentification performance has been carried out across them. Moreover, the possible ways these methods can compromise subsequent analysis has not been exhaustively tested. To tackle these issues, we developed AnonyMI, a novel MRI deidentification method, implemented as a user‐friendly 3D Slicer plugin‐in, which aims at providing a balance between identity protection and geometrical preservation. To test these features, we performed two series of analyses on which we compared AnonyMI to other two state‐of‐the‐art methods, to evaluate, at the same time, how efficient they are at deidentifying MRIs and how much they affect subsequent analyses, with particular emphasis on source localization procedures. Our results show that all three methods significantly reduce the re‐identification risk but AnonyMI provides the best geometrical conservation. Notably, it also offers several technical advantages such as a user‐friendly interface, multiple input–output capabilities, the possibility of being tailored to specific needs, batch processing and efficient visualization for quality assurance. |
format | Online Article Text |
id | pubmed-8559469 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85594692021-11-08 A comparative study between state‐of‐the‐art MRI deidentification and AnonyMI, a new method combining re‐identification risk reduction and geometrical preservation Mikulan, Ezequiel Russo, Simone Zauli, Flavia Maria d'Orio, Piergiorgio Parmigiani, Sara Favaro, Jacopo Knight, William Squarza, Silvia Perri, Pierluigi Cardinale, Francesco Avanzini, Pietro Pigorini, Andrea Hum Brain Mapp Technical Report Deidentifying MRIs constitutes an imperative challenge, as it aims at precluding the possibility of re‐identification of a research subject or patient, but at the same time it should preserve as much geometrical information as possible, in order to maximize data reusability and to facilitate interoperability. Although several deidentification methods exist, no comprehensive and comparative evaluation of deidentification performance has been carried out across them. Moreover, the possible ways these methods can compromise subsequent analysis has not been exhaustively tested. To tackle these issues, we developed AnonyMI, a novel MRI deidentification method, implemented as a user‐friendly 3D Slicer plugin‐in, which aims at providing a balance between identity protection and geometrical preservation. To test these features, we performed two series of analyses on which we compared AnonyMI to other two state‐of‐the‐art methods, to evaluate, at the same time, how efficient they are at deidentifying MRIs and how much they affect subsequent analyses, with particular emphasis on source localization procedures. Our results show that all three methods significantly reduce the re‐identification risk but AnonyMI provides the best geometrical conservation. Notably, it also offers several technical advantages such as a user‐friendly interface, multiple input–output capabilities, the possibility of being tailored to specific needs, batch processing and efficient visualization for quality assurance. John Wiley & Sons, Inc. 2021-09-14 /pmc/articles/PMC8559469/ /pubmed/34520074 http://dx.doi.org/10.1002/hbm.25639 Text en © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Technical Report Mikulan, Ezequiel Russo, Simone Zauli, Flavia Maria d'Orio, Piergiorgio Parmigiani, Sara Favaro, Jacopo Knight, William Squarza, Silvia Perri, Pierluigi Cardinale, Francesco Avanzini, Pietro Pigorini, Andrea A comparative study between state‐of‐the‐art MRI deidentification and AnonyMI, a new method combining re‐identification risk reduction and geometrical preservation |
title | A comparative study between state‐of‐the‐art MRI deidentification and AnonyMI, a new method combining re‐identification risk reduction and geometrical preservation |
title_full | A comparative study between state‐of‐the‐art MRI deidentification and AnonyMI, a new method combining re‐identification risk reduction and geometrical preservation |
title_fullStr | A comparative study between state‐of‐the‐art MRI deidentification and AnonyMI, a new method combining re‐identification risk reduction and geometrical preservation |
title_full_unstemmed | A comparative study between state‐of‐the‐art MRI deidentification and AnonyMI, a new method combining re‐identification risk reduction and geometrical preservation |
title_short | A comparative study between state‐of‐the‐art MRI deidentification and AnonyMI, a new method combining re‐identification risk reduction and geometrical preservation |
title_sort | comparative study between state‐of‐the‐art mri deidentification and anonymi, a new method combining re‐identification risk reduction and geometrical preservation |
topic | Technical Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8559469/ https://www.ncbi.nlm.nih.gov/pubmed/34520074 http://dx.doi.org/10.1002/hbm.25639 |
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