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Abstract #1343

Simulation-based optimization and experimental comparison of intracranial T2-weighted DANTE-SPACE vessel wall imaging at 3T and 7T

Matthijs H.S. de Buck1,2,3,4, Aaron T. Hess1, and Peter Jezzard1
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Spinoza Centre for Neuroimaging, Amsterdam, Netherlands, 3Computational Cognitive Neuroscience and Neuroimaging, Netherlands Institute for Neuroscience, KNAW, Amsterdam, Netherlands, 4Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands

Synopsis

Keywords: Blood Vessels, Vessels, Vessel Wall; Neurovascular; Ultra-high field

Motivation: T2-weighted DANTE-SPACE is a promising sequence for intracranial black-blood vessel wall imaging at 7T. However, it is limited by signal and contrast variations and its performance versus 3T remains unclear.

Goal(s): To optimize T2-weighted DANTE-SPACE at both 3T and 7T, and to quantitatively compare their performance.

Approach: A recently introduced DANTE-SPACE simulation framework was used for protocol optimization. Data acquired from six healthy volunteers at 3T and 7T were then quantitatively compared.

Results: Optimization of DANTE-SPACE parameters at 7T provides a 24% increase in vessel visibility over a literature protocol. Contrasts at 7T are 90% higher than at 3T.

Impact: Through simulation-based optimization, the vessel wall contrasts from T2-weighted DANTE-SPACE at 7T were improved by 24% versus a literature protocol. When optimized and implemented at 3T, in-vivo data showed a much lower vessel wall contrast-to-noise relative to 7T.

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