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ID 31650
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Author
Handa, Hitomi
Aihara, Hiroshi
Kinoshita, Kimihisa
Ohmoto, Takashi
Kinugasa, Kazushi
Kamata, Ichiro
Asari, Shoji
Abstract

The aim of this study was to determine suitable image parameters and an analytical method for phase-contrast magnetic resonance imaging (PC-MRI) as a means of measuring cerebral blood flow volume. This was done by constructing an experimental model and applying the results to a clinical application. The experimental model was constructed from the aorta of a bull and circulating isotonic saline. The image parameters of PC-MRI (repetition time, flip angle, matrix, velocity rate encoding, and the use of square pixels) were studied with percent flow volume (the ratio of actual flow volume to measured flow volume). The most suitable image parameters for accurate blood flow measurement were as follows: repetition time, 50 msec; flip angle, 20 degrees; and a 512 x 256 matrix without square pixels. Furthermore, velocity rate encoding should be set ranging from the maximum flow velocity in the vessel to five times this value. The correction in measuring blood flow was done with the intensity of the region of interest established in the background. With these parameters for PC-MRI, percent flow volume was greater than 90%. Using the image parameters for PC-MRI and the analytical method described above, we evaluated cerebral blood flow volume in 12 patients with occlusive disease of the major cervical arteries. The results were compared with conventional xenon computed tomography. The values found with both methods showed good correlation. Thus, we concluded that PC-MRI was a noninvasive method for evaluating cerebral blood flow in patients with occlusive disease of the major cervical arteries.

Keywords
phase-contrast imaging
image parameters
analytical method
cerebral blood flow volume measurement
Amo Type
Article
Publication Title
Acta Medica Okayama
Published Date
1999-02
Volume
volume53
Issue
issue1
Publisher
Okayama University Medical School
Start Page
45
End Page
53
ISSN
0386-300X
NCID
AA00508441
Content Type
Journal Article
language
English
File Version
publisher
Refereed
True
Web of Science KeyUT