Continuous diffusion spectrum computation for diffusion-weighted magnetic resonance imaging of the kidney tubule system.
Kidney
MRI
diffusion-weighted imaging
non-negative least squares (NNLS)
tubular volume fraction
Journal
Quantitative imaging in medicine and surgery
ISSN: 2223-4292
Titre abrégé: Quant Imaging Med Surg
Pays: China
ID NLM: 101577942
Informations de publication
Date de publication:
Jul 2021
Jul 2021
Historique:
received:
14
12
2020
accepted:
08
03
2021
entrez:
12
7
2021
pubmed:
13
7
2021
medline:
13
7
2021
Statut:
ppublish
Résumé
The use of rigid multi-exponential models (with Non-linear least squares (LS) fitting was used as reference for the simulations. For performance assessment, a threshold of 5% or 10% for the mean absolute percentage error (MAPE) of NNLS and LS results was used. As ground truth, a tri-exponential model using defined volume fractions and diffusion coefficients for each renal compartment (tubule system: NNLS showed the same high degree of reliability as the non-linear LS. MAPE of the tubular volume fraction ( This work demonstrates the feasibility of NNLS modelling for DWI of the kidney tubule system and shows its potential for examining diffusion compartments associated with renal pathophysiology including ITV fraction and different degrees of fibrosis.
Sections du résumé
BACKGROUND
BACKGROUND
The use of rigid multi-exponential models (with
METHODS
METHODS
Non-linear least squares (LS) fitting was used as reference for the simulations. For performance assessment, a threshold of 5% or 10% for the mean absolute percentage error (MAPE) of NNLS and LS results was used. As ground truth, a tri-exponential model using defined volume fractions and diffusion coefficients for each renal compartment (tubule system:
RESULTS
RESULTS
NNLS showed the same high degree of reliability as the non-linear LS. MAPE of the tubular volume fraction (
CONCLUSIONS
CONCLUSIONS
This work demonstrates the feasibility of NNLS modelling for DWI of the kidney tubule system and shows its potential for examining diffusion compartments associated with renal pathophysiology including ITV fraction and different degrees of fibrosis.
Identifiants
pubmed: 34249638
doi: 10.21037/qims-20-1360
pii: qims-11-07-3098
pmc: PMC8250037
doi:
Types de publication
Journal Article
Langues
eng
Pagination
3098-3119Informations de copyright
2021 Quantitative Imaging in Medicine and Surgery. All rights reserved.
Déclaration de conflit d'intérêts
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/qims-20-1360). TN, AP, TG, ES, SW, KC report funding provided by the German Research Foundation [Gefoerdert durch die Deutsche Forschungsgemeinschaft (DFG), Projektnummer 394046635, SFB 1365, RENOPROTECTION. Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Project number 394046635, SFB 1365, RENOPROTECTION]. The other authors have no conflicts of interest to declare.
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