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A practical protocol for high-spatial-resolution magnetic resonance angiography for cerebral arteries in rats

Authors :
Hiroshi Nagahama
Masanori Sasaki
Katsuya Komatsu
Kaori Sato
Yoshimi Katagiri
Masaki Kamagata
Yuko Kataoka-Sasaki
Shinichi Oka
Ryo Ukai
Takahiro Yokoyama
Kojiro Terada
Masato Kobayashi
Jeffery D. Kocsis
Osamu Honmou
Source :
Journal of Neuroscience Methods. 386:109784
Publication Year :
2023
Publisher :
Elsevier BV, 2023.

Abstract

Magnetic resonance angiography (MRA) is an important tool in rat models of cerebrovascular disease. Although MRA has long been used in rodents, the image quality is typically not as high as that observed in clinical practice. Moreover, studies on MRA image quality in rats are limited. This study aimed to develop a practical high-spatial-resolution MRA protocol for imaging cerebral arteries in rats.We used the "half position method" regarding coil placement and modified the imaging parameters and image reconstruction method. We applied this new imaging method to measure maturation-related signal changes on rat MRAs.The new practical high-spatial-resolution MRA imaging protocol obtained a signal intensity up to 3.5 times that obtained using a basic coil system, simply by modifying the coil placement method. This method allowed the detection of a gradual decrease in the signal in cerebral vessels with maturation.A high-spatial-resolution MRA for rats was obtained with an imaging time of approximately 100 min. Comparable resolution and image quality were obtained using the new protocol with an imaging time of 30 min CONCLUSIONS: The new practical high-spatial-resolution MRA protocol can be implemented simply and successfully to achieve high image quality with an imaging time of approximately 30 min. This protocol will benefit researchers performing MRA imaging in cerebral artery studies in rats.

Subjects

Subjects :
General Neuroscience

Details

ISSN :
01650270
Volume :
386
Database :
OpenAIRE
Journal :
Journal of Neuroscience Methods
Accession number :
edsair.doi.dedup.....318c77183d77485656e0eff1de7f01ec