Ehses, P., Bause, J., Shajan, G. and Scheffler, K. (2015) Efficient generation of T2*-weighted contrast by interslice echo-shifting for human functional and anatomical imaging at 9.4 Tesla. Magnetic Resonance in Medicine, 74(6), pp. 1698-1704. (doi: 10.1002/mrm.25570) (PMID:25597997)
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Abstract
Purpose: Standard gradient-echo sequences are often prohibitively slow for inline image-weighted imaging as long echo times prolong the repetition time of the sequence. Echo-shifting offers a way out of this dilemma by allowing an echo time that exceeds the repetition time. The purpose of this work is to present a gradient-echo sequence that is optimized for multislice inline image-weighted imaging applications by combining echo-shifting with an interleaved slice excitation order. Theory and Methods: This combined approach offers two major advantages: First, it combines the advantages of both concepts, that is, echo time and pulse repetition time can be significantly increased without affecting scan time. Second, there is no echo-shifting related signal loss associated with this concept as only a single radiofrequency pulse is applied per pulse repetition time and slice. Results: A 9.4 Tesla high-resolution inline image-weighted anatomical brain scan of the proposed sequence is compared to a standard gradient-echo. Furthermore, results from 9.4 Tesla blood oxygen level dependent functional magnetic resonance imaging experiments with an in-plane resolution of 0.8 × 0.8 mm2 are presented. Conclusion: The proposed sequence allows for efficient generation of inline image-weighted contrast by combining echo-shifting with an interleaved slice excitation order.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Gunamony, Dr Shajan |
Authors: | Ehses, P., Bause, J., Shajan, G., and Scheffler, K. |
College/School: | College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience |
Journal Name: | Magnetic Resonance in Medicine |
Publisher: | Wiley |
ISSN: | 0740-3194 |
ISSN (Online): | 1522-2594 |
Published Online: | 02 December 2014 |
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