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Inline dual-echo T2 quantification in brain using a fast mapping reconstruction technique.

Authors :
Snyder J
Seres P
Stobbe RW
Grenier JG
Smyth P
Blevins G
Wilman AH
Source :
NMR in biomedicine [NMR Biomed] 2023 Jan; Vol. 36 (1), pp. e4811. Date of Electronic Publication: 2022 Aug 26.
Publication Year :
2023

Abstract

T2 mapping from 2D proton density and T2-weighted images (PD-T2) using Bloch equation simulations can be time consuming and introduces a latency between image acquisition and T2 map production. A fast T2 mapping reconstruction method is investigated and compared with a previous modeling approach to reduce computation time and allow inline T2 maps on the MRI console. Brain PD-T2 images from five multiple sclerosis patients were used to compare T2 map reconstruction times between the new subtraction method and the Euclidean norm minimization technique. Bloch equation simulations were used to create the lookup table for decay curve matching in both cases. Agreement of the two techniques used Bland-Altman analysis for investigating individual subsets of data and all image points in the five volumes (meta-analysis). The subtraction method resulted in an average reduction of computation time for single slices from 134 s (minimization method) to 0.44 s. Comparing T2 values between the subtraction and minimization methods resulted in a confidence interval ranging from -0.06 to 0.06 ms (95% of values were within ± 0.06 ms between the techniques). Using identical reconstruction code based on the subtraction method, inline T2 maps were produced from PD-T2 images directly on the scanner console. The excellent agreement between the two methods permits the subtraction technique to be interchanged with the previous method, reducing computation time and allowing inline T2 map reconstruction based on Bloch simulations directly on the scanner.<br /> (© 2022 John Wiley & Sons Ltd.)

Subjects

Subjects :
Humans
Brain diagnostic imaging

Details

Language :
English
ISSN :
1099-1492
Volume :
36
Issue :
1
Database :
MEDLINE
Journal :
NMR in biomedicine
Publication Type :
Academic Journal
Accession number :
35934839
Full Text :
https://doi.org/10.1002/nbm.4811