Technical Note: Novel imaging method to obtain gray matter-attenuated inversion recovery image using low-field magnetic resonance imaging systems
The double inversion recovery (DIR) technique suppresses two types of tissue signals with different T1 values by applying two inversion recovery (IR) pulses with different inversion times (TI). In contrast, the double tissue suppression with multi-echo acquisition and single TI combining HIRE (DOMUS...
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Published in | Radiography (London, England. 1995) Vol. 30; no. 1; pp. 231 - 236 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Netherlands
Elsevier Ltd
01.01.2024
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Subjects | |
Online Access | Get full text |
ISSN | 1078-8174 1532-2831 1532-2831 |
DOI | 10.1016/j.radi.2023.11.010 |
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Summary: | The double inversion recovery (DIR) technique suppresses two types of tissue signals with different T1 values by applying two inversion recovery (IR) pulses with different inversion times (TI). In contrast, the double tissue suppression with multi-echo acquisition and single TI combining HIRE (DOMUST-HIRE) method, is a technique enabling the white-matter-attenuated inversion recovery (WAIR) images by setting one inversion time (TI) in a sequence based on the multi-echo method and subtracting the second echo image from the first echo image. Here, we propose a new sequence that can provide the gray-matter-attenuated inversion recovery image based on the DOMUST-HIRE method.
In this small clinical study, we performed determination of optimal TI and physical evaluation by imaging a subject’s head with T1WI and our proposed method for GAIR images.
Our proposed method could increase the contrast ratio and the contrast-to-noise ratio between white matter (WM) and gray matter (GM), whereas the signal-to-noise ratio WM and GM decreased than with T1WI method.
Our proposed method can be used to suppress GM and CSF signals.
The use of our proposed method in low-field MRI systems could provide GAIR image. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1078-8174 1532-2831 1532-2831 |
DOI: | 10.1016/j.radi.2023.11.010 |