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Correcting Time-intensity Curves in Dynamic Contrast-enhanced Breast MRI for Inhomogeneous Excitation Fields at 7T

Overview
Journal Magn Reson Med
Publisher Wiley
Specialty Radiology
Date 2019 Dec 28
PMID 31880346
Citations 1
Authors
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Abstract

Purpose: Inhomogeneous excitation at ultrahigh field strengths (7T and above) compromises the reliability of quantified dynamic contrast-enhanced breast MRI. This can hamper the introduction of ultrahigh field MRI into the clinic. Compensation for this non-uniformity effect can consist of both hardware improvements and post-acquisition corrections. This paper investigated the correctable radiofrequency transmit ( ) range post-acquisition in both simulations and patient data for 7T MRI.

Methods: Simulations were conducted to determine the minimum level at which corrections were still beneficial because of noise amplification. Two correction strategies leading to differences in noise amplification were tested. The effect of the corrections on a 7T patient data set (N = 38) with a wide range of levels was investigated in terms of time-intensity curve types as well as washin, washout and peak enhancement values.

Results: In simulations assuming a common amount of T saturation, the lowest level at which the SNR of the corrected images was at least that of the original precontrast image was 43% of the nominal angle. After correction, time-intensity curve types changed in 24% of included patients, and the distribution of curve types corresponded better to the distribution found in literature. Additionally, the overlap between the distributions of washin, washout, and peak enhancement values for grade 1 and grade 2 tumors was slightly reduced.

Conclusion: Although the correctable range varies with the amount of T saturation, post-acquisition correction for inhomogeneous excitation was feasible down to levels of 43% of the nominal angle in vivo.

Citing Articles

Correcting time-intensity curves in dynamic contrast-enhanced breast MRI for inhomogeneous excitation fields at 7T.

van Rijssel M, Pluim J, Chan H, van den Wildenberg L, Schmitz A, Luijten P Magn Reson Med. 2019; 84(2):1000-1010.

PMID: 31880346 PMC: 7217168. DOI: 10.1002/mrm.28147.

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