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ABSTRACT: Purpose
To validate an automatic algorithm for offline T2* measurements, providing robust, vendor-independent T2*, and uncertainty estimates for iron load quantification in the heart and liver using clinically available imaging sequences.Methods
A T2* region of interest (ROI)-based algorithm was developed for robustness in an offline setting. Phantom imaging was performed on a 1.5 Tesla system, with clinically available multiecho gradient-recalled-echo (GRE) sequences for cardiac and liver imaging. A T2* single-echo GRE sequence was used as reference. Simulations were performed to assess accuracy and precision from 2000 measurements. Inter- and intraobserver variability was obtained in a patient study (n = 23).Results
Simulations: Accuracy, in terms of the mean diff
SUBMITTER: Bidhult S
PROVIDER: S-EPMC4791092 | biostudies-literature | 2016 Apr
REPOSITORIES: biostudies-literature