Eggenschwiler, Florent, O'Brien, Kieran Robert, Gallichan, Daniel ![]() |
Abstract
Objectives For turbo spin echo (TSE) sequences to be useful at ultra-high field, they should ideally employ an RF pulse train compensated for the B1+ inhomogeneity. Previously, it was shown that a single kT-point pulse designed in the small tip-angle regime can replace all the pulses of the sequence (static kT-points). This work demonstrates that the B1+ dependence of T2-weighted imaging can be further mitigated by designing a specific kT-point pulse for each pulse of a 3D TSE sequence (dynamic kT-points) even on single-channel transmit systems Materials and methods By combining the spatially resolved extended phase graph formalism (which calculates the echo signals throughout the sequence) with a gradient descent algorithm, dynamic kT-points were optimized such that the difference between the simulated signal and a target was minimized at each echo. Dynamic kT-points were inserted into the TSE sequence to acquire in vivo images at 7T. Results The improvement provided by the dynamic kT-points over the static kT-point design and conventional hard pulses was demonstrated via simulations. Images acquired with dynamic kT-points showed systematic improvement of signal and contrast at 7T over regular TSE—especially in cerebellar and temporal lobe regions without the need of parallel transmission. Conclusion Designing dynamic kT-points for a 3D TSE sequence allows the acquisition of T2-weighted brain images on a single-transmit system at ultra-high field with reduced dropout and only mild residual effects due to the B1+ inhomogeneity.
Item Type: | Article |
---|---|
Date Type: | Publication |
Status: | Published |
Schools: | Cardiff University Brain Research Imaging Centre (CUBRIC) Engineering |
Subjects: | R Medicine > R Medicine (General) T Technology > TA Engineering (General). Civil engineering (General) |
Uncontrolled Keywords: | T2-weighted imagingB1+ inhomogeneity correctionDynamic kT-pointsTSE sequenceSpatially resolved extended phase graph |
Publisher: | Springer |
ISSN: | 0968-5243 |
Date of Acceptance: | 3 March 2016 |
Last Modified: | 02 Nov 2022 09:44 |
URI: | https://orca.cardiff.ac.uk/id/eprint/96268 |
Citation Data
Cited 11 times in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
![]() |
Edit Item |