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Visualization of the Lenticulostriate artery with 3-dimensional time-of-flight magnetic resonance angiography combined with the compressed sensing technique using a 3-T magnetic resonance imaging system.

Authors :
Huang F
Guo Y
Chen R
Lin S
Source :
Magnetic resonance imaging [Magn Reson Imaging] 2023 Oct; Vol. 102, pp. 38-42. Date of Electronic Publication: 2023 Jan 03.
Publication Year :
2023

Abstract

The lenticulostriate artery (LSA) is a vital perforating cerebral artery, whose occlusion often leads to lacunar infarction. Currently, digital subtraction angiography is mainly used to visualize the LSA in the clinical setting; however, its invasiveness is an important limiting factor. Studies have shown that time-of-flight (TOF) sequencing using a high-field magnetic resonance system (7 T) can better image the LSA. However, the diameter of the LSA is extremely small (approximately 0.3-0.7 mm) with relatively slow blood flow velocity; therefore, imaging the LSA with a 3-T magnetic resonance imaging (MRI) scanner remains challenging. This study aimed to visualize the LSA using 3-dimensional-TOF magnetic resonance angiography (MRA) with compressed sensing using a 3-T system and compare the length and number of the LSAs between patients with infarction and normal controls. The scan times of 3D-TOF MRA with and without compressed sensing were 7 min, and 8 min 44 s, respectively. VR displayed the LSA clearly under both conditions. The total number (p > 0.05) and length (p > 0.05) of the LSAs did not differ significantly between 3D-TOF MRA with and without compressed sensing. However, the total length and number of visualized LSAs was significantly lower (p < 0.05) in the infarction group compared to the control group for both TOF MRA and TOF MRA with compressed sensing. TOF MRA combined with compressed sensing is clinically valuable for analyzing the morphological characteristics of the LSA, and shortens the imaging time to 7 min. This combined technique can meet the requirements of shorter scanning times in clinical settings.<br /> (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1873-5894
Volume :
102
Database :
MEDLINE
Journal :
Magnetic resonance imaging
Publication Type :
Academic Journal
Accession number :
36608910
Full Text :
https://doi.org/10.1016/j.mri.2022.12.028