Sampling arterial input function (AIF) from peripheral arteries: Comparison of a temporospatial-feature based method against conventional manual method.
Arterial input function
Calf muscles
Connected component analysis
Magnetic resonance imaging
Peripheral artery disease
Journal
Magnetic resonance imaging
ISSN: 1873-5894
Titre abrégé: Magn Reson Imaging
Pays: Netherlands
ID NLM: 8214883
Informations de publication
Date de publication:
04 2019
04 2019
Historique:
received:
24
08
2018
revised:
19
11
2018
accepted:
21
11
2018
pubmed:
25
11
2018
medline:
2
7
2019
entrez:
25
11
2018
Statut:
ppublish
Résumé
It is often difficult to accurately localize small arteries in images of peripheral organs, and even more so with vascular abnormality vasculatures, including collateral arteries, in peripheral artery disease (PAD). This poses a challenge for manually sampling arterial input function (AIF) in quantifying dynamic contrast-enhanced (DCE) MRI data of peripheral organs. In this study, we designed a multi-step screening approach that utilizes both the temporal and spatial information of the dynamic images, and is presumably suitable for localizing small and unpredictable peripheral arteries. In 41 DCE MRI datasets acquired from human calf muscles, the proposed method took <5 s on average for sampling AIF for each case, much more efficient than the manual sampling method; AIFs by the two methods were comparable, with Pearson's correlation coefficient of 0.983 ± 0.004 (p-value < 0.01) and relative difference of 2.4% ± 2.6%. In conclusion, the proposed temporospatial-feature based method enables efficient and accurate sampling of AIF from peripheral arteries, and would improve measurement precision and inter-observer consistency for quantitative DCE MRI of peripheral tissues.
Identifiants
pubmed: 30471329
pii: S0730-725X(18)30410-7
doi: 10.1016/j.mri.2018.11.017
pmc: PMC6331273
mid: NIHMS1515237
pii:
doi:
Substances chimiques
Contrast Media
0
Types de publication
Comparative Study
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
118-123Subventions
Organisme : NHLBI NIH HHS
ID : K99 HL125756
Pays : United States
Organisme : NHLBI NIH HHS
ID : R00 HL125756
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK109349
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL135242
Pays : United States
Informations de copyright
Copyright © 2018 Elsevier Inc. All rights reserved.
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