Magnetic resonance angiography with compressed sensing: An evaluation of moyamoya disease

• Yamamoto, Takayuki

  Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University

• Okada, Tomohisa

  Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University

• Fushimi, Yasutaka

  Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University

• Yamamoto, Akira

  Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University

• Fujimoto, Koji

  Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University

• Okuchi, Sachi

  Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University

• Fukutomi, Hikaru

  Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University

• Takahashi, Jun C.

  Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University・Department of Neurosurgery, National Cerebral and Cardiovascular Center, Suita

• Funaki, Takeshi

  Department of Neurosurgery, Graduate School of Medicine, Kyoto University

• Miyamoto, Susumu

  Department of Neurosurgery, Graduate School of Medicine, Kyoto University

• Stalder, Aurélien F.

  Siemens ltd. China

• Natsuaki, Yutaka

  Siemens Medical Solutions USA, Inc.

• Speier, Peter

  Siemens Healthcare

• Togashi, Kaori

  Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University

• Stephan Meckel

  editor

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).

Journal

• PLOS ONE

  PLOS ONE 13 (1), e0189493-, 2018-01-19

  Public Library of Science (PLoS)

Keywords

• Multidisciplinary

Details

• CRID: 1050564285810857856
• NII Article ID: 120006460064
• ISSN: 19326203
• DOI: 10.1371/journal.pone.0189493
• HANDLE: 2433/230796
• Web Site: http://dx.plos.org/10.1371/journal.pone.0189493
• Text Lang: en
• Article Type: journal article
• Data Source:
  • IRDB
  • Crossref
  • CiNii Articles
  • KAKEN