VERDICT-AMICO: Ultrafast fitting algorithm for non-invasive prostate microstructure characterization.

Détails

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Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_C6C60B573A92
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
VERDICT-AMICO: Ultrafast fitting algorithm for non-invasive prostate microstructure characterization.
Périodique
NMR in biomedicine
Auteur(s)
Bonet-Carne E., Johnston E., Daducci A., Jacobs J.G., Freeman A., Atkinson D., Hawkes D.J., Punwani S., Alexander D.C., Panagiotaki E.
ISSN
1099-1492 (Electronic)
ISSN-L
0952-3480
Statut éditorial
Publié
Date de publication
01/2019
Peer-reviewed
Oui
Volume
32
Numéro
1
Pages
e4019
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
VERDICT (vascular, extracellular and restricted diffusion for cytometry in tumours) estimates and maps microstructural features of cancerous tissue non-invasively using diffusion MRI. The main purpose of this study is to address the high computational time of microstructural model fitting for prostate diagnosis, while retaining utility in terms of tumour conspicuity and repeatability. In this work, we adapt the accelerated microstructure imaging via convex optimization (AMICO) framework to linearize the estimation of VERDICT parameters for the prostate gland. We compare the original non-linear fitting of VERDICT with the linear fitting, quantifying accuracy with synthetic data, and computational time and reliability (performance and precision) in eight patients. We also assess the repeatability (scan-rescan) of the parameters. Comparison of the original VERDICT fitting versus VERDICT-AMICO showed that the linearized fitting (1) is more accurate in simulation for a signal-to-noise ratio of 20 dB; (2) reduces the processing time by three orders of magnitude, from 6.55 seconds/voxel to 1.78 milliseconds/voxel; (3) estimates parameters more precisely; (4) produces similar parametric maps and (5) produces similar estimated parameters with a high Pearson correlation between implementations, r <sup>2</sup>  > 0.7. The VERDICT-AMICO estimates also show high levels of repeatability. Finally, we demonstrate that VERDICT-AMICO can estimate an extra diffusivity parameter without losing tumour conspicuity and retains the fitting advantages. VERDICT-AMICO provides microstructural maps for prostate cancer characterization in seconds.
Mots-clé
AMICO, VERDICT MRI, cancer imaging, diffusion MRI, microstructure imaging, prostate cancer, quantitative imaging
Pubmed
Web of science
Open Access
Oui
Création de la notice
25/11/2018 16:21
Dernière modification de la notice
20/08/2019 16:42
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