Measurement and Correction of Stimulated Echo Contamination in T2-Based Iron Quantification

TitleMeasurement and Correction of Stimulated Echo Contamination in T2-Based Iron Quantification
Publication TypeJournal Article
Year of Publication2013
AuthorsSammet CL, Swaminathan SV, Tang H, Sheth S, Jensen JH, Nunez A, Hultman K, Kim D, Wu EX, Brittenham GM, Brown TR
JournalMagn Reson Imaging
Volume31
Issue5
Pagination664-8
Date Published2013 Jun
ISSN1873-5894
KeywordsAdult, Algorithms, Artifacts, beta-Thalassemia, Biomarkers, Female, Ferritins, Hemosiderin, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Iron, Iron Overload, Magnetic Resonance Imaging, Male, Phantoms, Imaging, Reproducibility of Results, Sensitivity and Specificity
Abstract

The purpose of this study was to characterize the effects of stimulated echo contamination on MR-based iron measurement derived from quantitative T2 images and develop a method for retrospective correction. Two multiple spin-echo (MSE) pulse sequences were implemented with different amounts of stimulated echo contamination. Agarose-based phantoms were constructed that simulate the relaxation and susceptibility properties of tissue with different concentrations of dispersed (ferritin-like) and aggregated (hemosiderin-like) iron. Additionally, myocardial iron was assessed in nine human subjects with transfusion iron overload. These data were used to determine the influence of stimulated echoes on iron measurements made by an MR-based iron quantification model that can separately measure dispersed and aggregated iron. The study found that stimulated echo contamination caused an underestimation of dispersed (ferritin-like) iron and an overestimation of aggregated (hemosiderin-like) iron when applying this model. The relationship between the measurements made with and without stimulated echo appears to be linear. The findings suggest that while it is important to use MSE sequences with minimal stimulated echo in T2-based iron quantification, it appears that data acquired with sub-optimal sequences can be retrospectively corrected using the methodology described here.

DOI10.1016/j.mri.2012.10.019
Alternate JournalMagn Reson Imaging
PubMed ID23260394
PubMed Central IDPMC3640690
Grant ListR01-DK066251 / DK / NIDDK NIH HHS / United States
R37 DK049108 / DK / NIDDK NIH HHS / United States
R01-DK069373 / DK / NIDDK NIH HHS / United States
R01-DK049108 / DK / NIDDK NIH HHS / United States
R01 DK049108 / DK / NIDDK NIH HHS / United States
R01 DK069373 / DK / NIDDK NIH HHS / United States
R01 DK066251 / DK / NIDDK NIH HHS / United States