Improved visualization of intracranial distal arteries with multiple 2D slice dynamic ASL-MRA and super-resolution convolutional neural network.
arterial spin labeling
convolutional neural network
dynamic MR angiography
non‐contrast MRA
super‐resolution
Journal
Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245
Informations de publication
Date de publication:
18 Aug 2024
18 Aug 2024
Historique:
revised:
08
07
2024
received:
01
05
2024
accepted:
24
07
2024
medline:
19
8
2024
pubmed:
19
8
2024
entrez:
18
8
2024
Statut:
aheadofprint
Résumé
To develop a novel framework to improve the visualization of distal arteries in arterial spin labeling (ASL) dynamic MRA. The attenuation of ASL blood signal due to the repetitive application of excitation RF pulses was minimized by splitting the acquisition volume into multiple thin 2D (M2D) slices, thereby reducing the exposure of the arterial blood magnetization to RF pulses while it flows within the brain. To improve the degraded vessel visualization in the slice direction due to the limited minimum achievable 2D slice thickness, a super-resolution (SR) convolutional neural network (CNN) was trained by using 3D time-of-flight (TOF)-MRA images from a large public dataset. And then, we applied domain transfer from 3D TOF-MRA to M2D ASL-MRA, while avoiding acquiring a large number of ASL-MRA data required for CNN training. Compared to the conventional 3D ASL-MRA, far more distal arteries were visualized with higher signal intensity by using M2D ASL-MRA. In general, however, the vessel visualization with a conventional interpolation was prone to be blurry and unclear due to the limited spatial resolution in the slice direction, particularly in small vessels. Application of CNN-based SR transferred from 3D TOF-MRA to M2D ASL-MRA successfully addressed such a limitation and achieved clearer visualization of small vessels than conventional interpolation. This study demonstrated that the proposed framework provides improved visualization of distal arteries in later dynamic phases, which will particularly benefit the application of this approach in patients with cerebrovascular disease who have slow blood flow.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Wellcome Trust
ID : 203139/A/16/Z
Pays : United Kingdom
Organisme : Royal Academy of Engineering
ID : RF/201920/19/236
Organisme : NIHR Oxford Health Biomedical Research Centre
ID : NIHR203316
Organisme : NIHR Oxford Biomedical Research Centre
Organisme : Dunhill Medical Trust
Organisme : Royal Society
ID : 220204/Z/20/Z
Informations de copyright
© 2024 The Author(s). Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.
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