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Title: Magnetic resonance angiography with compressed sensing: An evaluation of moyamoya disease
Authors: Yamamoto, Takayuki
Okada, Tomohisa  kyouindb  KAKEN_id  orcid (unconfirmed)
Fushimi, Yasutaka  kyouindb  KAKEN_id  orcid (unconfirmed)
Yamamoto, Akira  kyouindb  KAKEN_id  orcid (unconfirmed)
Fujimoto, Koji  kyouindb  KAKEN_id  orcid (unconfirmed)
Okuchi, Sachi  kyouindb  KAKEN_id  orcid (unconfirmed)
Fukutomi, Hikaru
Takahashi, Jun C.
Funaki, Takeshi  kyouindb  KAKEN_id
Miyamoto, Susumu
Stalder, Aurélien F.
Natsuaki, Yutaka
Speier, Peter
Togashi, Kaori
Author's alias: 岡田, 知久
伏見, 育崇
山本, 憲
藤本, 晃司
福富, 光
高橋, 淳
舟木, 健史
宮本, 享
富樫, かおり
Issue Date: 19-Jan-2018
Publisher: Public Library of Science (PLoS)
Journal title: PLOS ONE
Volume: 13
Issue: 1
Thesis number: e0189493
Abstract: Compressed sensing (CS) reconstructions of under-sampled measurements generate missing data based on assumptions of image sparsity. Non-contrast time-of-flight MR angiography (TOF-MRA) is a good candidate for CS based acceleration, as MRA images feature bright trees of sparse vessels over a well-suppressed anatomical background signal. A short scan time derived from CS is beneficial for patients of moyamoya disease (MMD) because of the frequency of MR scans. The purpose of this study was to investigate the reliability of TOF-MRA with CS in the evaluation of MMD. Twenty-two patients were examined using TOF-MRA with CS (CS-TOF) and parallel imaging (PI-TOF). The acceleration factors were 3 (CS3) and 5 (CS5) for CS-TOF, and 3 (PI3) for PI-TOF. Two neuroradiologists evaluated the MMD grading according to stenosis/occlusion scores using the modified Houkin’s system, and the visibility of moyamoya vessels (MMVs) using a 3-point scale. Concordance was calculated with Cohen’s κ. The numbers of MMVs in the basal ganglia were compared using Bland-Altman analysis and Wilcoxon’s signed-rank tests. MRA scan times were 4:07, 3:53, and 2:42 for PI3, CS3, and CS5, respectively. CS-reconstruction completed within 10 minutes. MMD grading and MMV visibility scales showed excellent correlation (κ > .966). Although the number of MMVs was significantly higher in CS3 than in PI3 (p < .0001) and CS5 (p < .0001), Bland-Altman analysis showed a good agreement between PI3, CS3, and CS5. Compressed sensing can accelerate TOF-MRA with improved visualization of small collaterals in equivalent time (CS3) or equivalent results in a shorter scan time (CS5).
Rights: © 2018 Yamamoto et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
DOI(Published Version): 10.1371/journal.pone.0189493
PubMed ID: 29351284
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