Rethinking MRI as a measurement device through modular and portable pipelines DOI Creative Commons
Agâh Karakuzu, Nadia Blostein, Alex Valcourt Caron

et al.

Magnetic Resonance Materials in Physics Biology and Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Abstract The premise of MRI as a reliable measurement device is limited by proprietary barriers and inconsistent implementations, which prevent the establishment uncertainties. As result, biomedical studies that rely on these methods are plagued systematic variance, undermining perceived promise quantitative imaging biomarkers (QIBs) hindering their clinical translation. This review explores added value open-source pipelines in minimizing variability sources would otherwise remain unknown. First, we introduce tiered benchmarking framework (from black-box to glass-box) exposes how opacity at different workflow stages propagates uncertainty. Second, provide concise glossary promote consistent terminology for strategies enhance reproducibility before acquisition or enable valid post-hoc pooling QIBs. Building this foundation, present two illustrative workflows decouple logic from orchestration computational processes an pipeline, rooted core principles modularity portability. Designed accessible entry points implementation, examples serve practical guides, helping users adapt frameworks specific needs facilitating collaboration. Through critical evaluation existing approaches, discuss standardized can help identify outstanding challenges translating glass-box into scanner environments. Ultimately, achieving goal will require coordinated efforts QIB developers, regulators, industry partners, clinicians alike.

Language: Английский

Rethinking MRI as a measurement device through modular and portable pipelines DOI Creative Commons
Agâh Karakuzu, Nadia Blostein, Alex Valcourt Caron

et al.

Magnetic Resonance Materials in Physics Biology and Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Abstract The premise of MRI as a reliable measurement device is limited by proprietary barriers and inconsistent implementations, which prevent the establishment uncertainties. As result, biomedical studies that rely on these methods are plagued systematic variance, undermining perceived promise quantitative imaging biomarkers (QIBs) hindering their clinical translation. This review explores added value open-source pipelines in minimizing variability sources would otherwise remain unknown. First, we introduce tiered benchmarking framework (from black-box to glass-box) exposes how opacity at different workflow stages propagates uncertainty. Second, provide concise glossary promote consistent terminology for strategies enhance reproducibility before acquisition or enable valid post-hoc pooling QIBs. Building this foundation, present two illustrative workflows decouple logic from orchestration computational processes an pipeline, rooted core principles modularity portability. Designed accessible entry points implementation, examples serve practical guides, helping users adapt frameworks specific needs facilitating collaboration. Through critical evaluation existing approaches, discuss standardized can help identify outstanding challenges translating glass-box into scanner environments. Ultimately, achieving goal will require coordinated efforts QIB developers, regulators, industry partners, clinicians alike.

Language: Английский

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