2015
DOI: 10.1186/s12968-015-0216-z
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Free-breathing myocardial T2* mapping using GRE-EPI and automatic Non-rigid motion correction

Abstract: BackgroundMeasurement of myocardial T2* is becoming widely used in the assessment of patients at risk for cardiac iron overload. The conventional breath-hold, ECG-triggered, segmented, multi-echo gradient echo (MGRE) sequence used for myocardial T2* quantification is very sensitive to respiratory motion and may not be feasible in patients who are unable to breath-hold. We propose a free-breathing myocardial T2* mapping approach that combines a single-shot gradient-echo echo-planar imaging (GRE-EPI) sequence fo… Show more

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Cited by 18 publications
(21 citation statements)
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“…Furthermore, 2D sequences, typically acquired during breath‐holding, regularly suffer from respiratory and cardiac motion between the T 2 ‐weighted images, due primarily to imperfect breath‐holding or variable heart rate . Although robust nonrigid motion‐correction techniques have been proposed to correct for residual motion and improve map quality, such techniques are relatively complex, computationally expensive, and only correct for in‐plane motion …”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, 2D sequences, typically acquired during breath‐holding, regularly suffer from respiratory and cardiac motion between the T 2 ‐weighted images, due primarily to imperfect breath‐holding or variable heart rate . Although robust nonrigid motion‐correction techniques have been proposed to correct for residual motion and improve map quality, such techniques are relatively complex, computationally expensive, and only correct for in‐plane motion …”
Section: Introductionmentioning
confidence: 99%
“…Reduced field inhomogeneities and susceptibility differences associated with lower B0 resulted in reduced spatial variability in T2* maps at 0.35 T compared with 1.5 and 3 T. However, spatial variability in T1 and T2 maps was greater at lower B0, probably due to reduced SNR. Increasing the number of averages and performing retrospective motion correction may further reduce the spatial variability observed in these parametric maps at 0.35 T 61,62 . The spatial variability for quantitative mapping was determined under the assumption that the underlying pixel‐wise parametric estimates are homogeneous within the septal ROI.…”
Section: Discussionmentioning
confidence: 99%
“…To this aim, breath-holding GRE sequences are commonly used [27]. However, these sequences are quite sensitive to respiratory artefacts and always require adequate breath-holding during image acquisition [28]. Thus, this standard technique is not feasible in patients who are unable to perform breathholding commands, especially in young children.…”
Section: Discussionmentioning
confidence: 99%