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Dalmaz O, Mirza MU, Elmas G, Ozbey M, Dar SUH, Ceyani E, Oguz KK, Avestimehr S, Çukur T. One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis. Med Image Anal 2024; 94:103121. [PMID: 38402791 DOI: 10.1016/j.media.2024.103121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 02/20/2024] [Accepted: 02/21/2024] [Indexed: 02/27/2024]
Abstract
Curation of large, diverse MRI datasets via multi-institutional collaborations can help improve learning of generalizable synthesis models that reliably translate source- onto target-contrast images. To facilitate collaborations, federated learning (FL) adopts decentralized model training while mitigating privacy concerns by avoiding sharing of imaging data. However, conventional FL methods can be impaired by the inherent heterogeneity in the data distribution, with domain shifts evident within and across imaging sites. Here we introduce the first personalized FL method for MRI Synthesis (pFLSynth) that improves reliability against data heterogeneity via model specialization to individual sites and synthesis tasks (i.e., source-target contrasts). To do this, pFLSynth leverages an adversarial model equipped with novel personalization blocks that control the statistics of generated feature maps across the spatial/channel dimensions, given latent variables specific to sites and tasks. To further promote communication efficiency and site specialization, partial network aggregation is employed over later generator stages while earlier generator stages and the discriminator are trained locally. As such, pFLSynth enables multi-task training of multi-site synthesis models with high generalization performance across sites and tasks. Comprehensive experiments demonstrate the superior performance and reliability of pFLSynth in MRI synthesis against prior federated methods.
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Affiliation(s)
- Onat Dalmaz
- Department of Electrical and Electronics Engineering, Bilkent University, Ankara 06800, Turkey; National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara 06800, Turkey
| | - Muhammad U Mirza
- Department of Electrical and Electronics Engineering, Bilkent University, Ankara 06800, Turkey; National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara 06800, Turkey
| | - Gokberk Elmas
- Department of Electrical and Electronics Engineering, Bilkent University, Ankara 06800, Turkey; National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara 06800, Turkey
| | - Muzaffer Ozbey
- Department of Electrical and Electronics Engineering, Bilkent University, Ankara 06800, Turkey; National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara 06800, Turkey
| | - Salman U H Dar
- Department of Electrical and Electronics Engineering, Bilkent University, Ankara 06800, Turkey; National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara 06800, Turkey
| | - Emir Ceyani
- Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Kader K Oguz
- Department of Radiology, University of California, Davis Medical Center, Sacramento, CA 95817, USA
| | - Salman Avestimehr
- Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Tolga Çukur
- Department of Electrical and Electronics Engineering, Bilkent University, Ankara 06800, Turkey; National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara 06800, Turkey; Neuroscience Program, Bilkent University, Ankara 06800, Turkey.
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Parveen A, Mirza MU, Vanmeert M, Akhtar J, Bashir H, Khan S, Shehzad S, Froeyen M, Ahmed W, Ansar M, Wasif N. A novel pathogenic missense variant in CNNM4 underlying Jalili syndrome: Insights from molecular dynamics simulations. Mol Genet Genomic Med 2019; 7:e902. [PMID: 31347285 PMCID: PMC6732295 DOI: 10.1002/mgg3.902] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Revised: 06/04/2019] [Accepted: 07/08/2019] [Indexed: 12/24/2022] Open
Abstract
Background Jalili syndrome (JS) is a rare cone‐rod dystrophy (CRD) associated with amelogenesis imperfecta (AI). The first clinical presentation of JS patients was published in 1988 by Jalili and Smith. Pathogenic mutations in the Cyclin and CBS Domain Divalent Metal Cation Transport Mediator 4 (CNNM4) magnesium transporter protein have been reported as the leading cause of this anomaly. Methods In the present study, a clinical and genetic investigation was performed in a consanguineous family of Pakistani origin, showing characteristic features of JS. Sanger sequencing was successfully used to identify the causative variant in CNNM4. Molecular dynamics (MD) simulations were performed to study the effect of amino acid change over CNNM4 protein. Results Sequence analysis of CNNM4 revealed a novel missense variant (c.1220G>T, p.Arg407Leu) in exon‐1 encoding cystathionine‐β‐synthase (CBS) domain. To comprehend the mutational consequences in the structure, the mutant p.Arg407Leu was modeled together with a previously reported variant (c.1484C>T, p.Thr495Ile) in the same domain. Additionally, docking analysis deciphered the binding mode of the adenosine triphosphate (ATP) cofactor. Furthermore, 60ns MD simulations were carried out on wild type (p.Arg407/p.Thr495) and mutants (p.Arg407Leu/p.Thr495Ile) to understand the structural and energetic changes in protein structure and its dynamic behavior. An evident conformational shift of ATP in the binding site was observed in simulated mutants disrupting the native ATP‐binding mode. Conclusion The novel identified variant in CNNM4 is the first report from the Pakistani population. Overall, the study is valuable and may give a novel insight into metal transport in visual function and biomineralization.
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Affiliation(s)
- Asia Parveen
- Institute of Molecular Biology and Biotechnology (IMBB), Centre for Research in Molecular Medicine (CRiMM), The University of Lahore, Lahore, Pakistan.,Faculty of Life Sciences, University of Central Punjab (UCP), Lahore, Pakistan
| | - Muhammad U Mirza
- Department of Pharmaceutical Sciences, REGA Institute for Medical Research, Medicinal Chemistry, University of Leuven, Leuven, Belgium
| | - Michiel Vanmeert
- Department of Pharmaceutical Sciences, REGA Institute for Medical Research, Medicinal Chemistry, University of Leuven, Leuven, Belgium
| | - Javed Akhtar
- Institute of Molecular Biology and Biotechnology (IMBB), Centre for Research in Molecular Medicine (CRiMM), The University of Lahore, Lahore, Pakistan
| | - Hina Bashir
- Institute of Molecular Biology and Biotechnology (IMBB), Centre for Research in Molecular Medicine (CRiMM), The University of Lahore, Lahore, Pakistan.,Department of Biochemistry, Sharif Medical and Dental College, Lahore, Pakistan
| | - Saadullah Khan
- Department of Biotechnology and Genetic Engineering, Kohat University of Science and Technology (KUST), Kohat, Pakistan
| | - Saqib Shehzad
- Faculty of Life Sciences, University of Central Punjab (UCP), Lahore, Pakistan
| | - Matheus Froeyen
- Department of Pharmaceutical Sciences, REGA Institute for Medical Research, Medicinal Chemistry, University of Leuven, Leuven, Belgium
| | - Wasim Ahmed
- Department of Biochemistry, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan
| | - Muhammad Ansar
- Department of Biochemistry, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan
| | - Naveed Wasif
- Institute of Molecular Biology and Biotechnology (IMBB), Centre for Research in Molecular Medicine (CRiMM), The University of Lahore, Lahore, Pakistan.,Institute of Human Genetics, University of Ulm & University Hospital, Ulm, Germany.,Institute of Human Genetics, University Hospital Schleswig-Holstein, Kiel, Germany
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