Self-supervised neural network improves tri-exponential intravoxel incoherent motion model fitting compared to least-squares fitting in non-alcoholic fatty liver disease

Recent literature suggests that tri-exponential models may provide additional information and fit liver intravoxel incoherent motion (IVIM) data more accurately than conventional bi-exponential models. However, voxel-wise fitting of IVIM results in noisy and unreliable parameter maps. For bi-exponen...

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Detalles Bibliográficos
Autores principales: Troelstra, Marian A., Van Dijk, Anne-Marieke, Witjes, Julia J., Mak, Anne Linde, Zwirs, Diona, Runge, Jurgen H., Verheij, Joanne, Beuers, Ulrich H., Nieuwdorp, Max, Holleboom, Adriaan G., Nederveen, Aart J., Gurney-Champion, Oliver J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485997/
https://www.ncbi.nlm.nih.gov/pubmed/36148303
http://dx.doi.org/10.3389/fphys.2022.942495

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485997/
https://www.ncbi.nlm.nih.gov/pubmed/36148303
http://dx.doi.org/10.3389/fphys.2022.942495

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