The Effect of Registration on Voxel-Wise Tofts Model Parameters and Uncertainties from DCE-MRI of Early-Stage Breast Cancer Patients Using 3DSlicer.
3DSlicer
Breast DCE-MRI
Computation time
Deformable registration
Imaging biomarkers
Percent sampling
Journal
Journal of digital imaging
ISSN: 1618-727X
Titre abrégé: J Digit Imaging
Pays: United States
ID NLM: 9100529
Informations de publication
Date de publication:
10 2020
10 2020
Historique:
received:
18
12
2018
accepted:
23
07
2020
revised:
15
06
2020
pubmed:
5
8
2020
medline:
24
7
2021
entrez:
5
8
2020
Statut:
ppublish
Résumé
We quantitatively investigate the influence of image registration, using open-source software (3DSlicer), on kinetic analysis (Tofts model) of dynamic contrast enhanced MRI of early-stage breast cancer patients. We also show that registration computation time can be reduced by reducing the percent sampling (PS) of voxels used for estimation of the cost function. DCE-MRI breast images were acquired on a 3T-PET/MRI system in 13 patients with early-stage breast cancer who were scanned in a prone radiotherapy position. Images were registered using a BSpline transformation with a 2 cm isotropic grid at 100, 20, 5, 1, and 0.5PS (BRAINSFit in 3DSlicer). Signal enhancement curves were analyzed voxel-by-voxel using the Tofts kinetic model. Comparing unregistered with registered groups, we found a significant change in the 90th percentile of the voxel-wise distribution of K
Identifiants
pubmed: 32748300
doi: 10.1007/s10278-020-00374-6
pii: 10.1007/s10278-020-00374-6
pmc: PMC7572994
doi:
Substances chimiques
Contrast Media
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1065-1072Subventions
Organisme : CIHR
ID : 149080
Pays : Canada
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