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Fast imaging of lenticulostriate arteries by high-resolution black-blood T1-weighted imaging with variable flip angles and acceleration by compressed sensitivity encoding.
- Source :
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Magnetic resonance imaging [Magn Reson Imaging] 2024 Jul; Vol. 110, pp. 51-56. Date of Electronic Publication: 2024 Mar 06. - Publication Year :
- 2024
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Abstract
- Objective: We investigated the feasibility of using compressed sensitivity encoding (CS-SENSE) to accelerate high-resolution black-blood T1-weighted imaging with variable flip angles (T1WI-VFA) for efficient visualization and characterization of lenticulostriate arteries (LSAs) on a 3.0 T MR scanner.<br />Materials and Methods: Twenty-five healthy volunteers and 18 patients with the cerebrovascular disease were prospectively enrolled. Healthy volunteers underwent T1WI-VFA sequences with different acceleration factors (AFs), including conventional sensitivity encoding (SENSE) AF = 3 and CS-SENSE AF = 3, 4, 5, and 6 (SENSE3, CS3, CS4, CS5, CS6, respectively) at 3 Tesla MRI scanner. Objective evaluation (contrast ratio and number, length, and branches of LSAs) and subjective evaluation (overall image quality and LSA visualization scores) were used to assess image quality and LSA visualization. Comparisons were performed among the 5 sequences to select the best AF. All patients underwent both T1WI-VFA with the optimal AF and digital subtraction angiography (DSA) examination, and the number of LSAs observed by T1WI-VFA was compared with that by DSA.<br />Results: Pair-wise comparisons among CS3, CS4, and SENSE3 revealed no significant differences in both objective measurements and subjective evaluation (all P > 0.05). In patients, there was no significant difference in LSA counts on the same side between T1WI-VFA with CS4 and DSA (3, 3-4 and 3, 3-3, P = 0.243).<br />Conclusions: CS3 provided better LSA visualization but a longer scan duration compared to CS4. And, CS4 strikes a good balance between LSA visualization and acquisition time, which is recommended for routine clinical use.<br /> (Copyright © 2024 Elsevier Inc. All rights reserved.)
- Subjects :
- Humans
Male
Female
Middle Aged
Adult
Aged
Prospective Studies
Magnetic Resonance Angiography methods
Image Processing, Computer-Assisted methods
Angiography, Digital Subtraction
Image Interpretation, Computer-Assisted methods
Cerebrovascular Disorders diagnostic imaging
Cerebral Arteries diagnostic imaging
Magnetic Resonance Imaging methods
Subjects
Details
- Language :
- English
- ISSN :
- 1873-5894
- Volume :
- 110
- Database :
- MEDLINE
- Journal :
- Magnetic resonance imaging
- Publication Type :
- Academic Journal
- Accession number :
- 38458551
- Full Text :
- https://doi.org/10.1016/j.mri.2024.03.004