TY - JOUR
T1 - Automatic T2* determination for quantification of iron load in heart and liver
T2 - a comparison between automatic inline Maximum Likelihood Estimate and the truncation and offset methods
AU - Hedström, Erik
AU - Voigt, Tobias
AU - Greil, Gerald
AU - Schaeffter, Tobias
AU - Nagel, Eike
N1 - Funding Information:
Support was received from the Wellcome Trust and the Engineering and Physical Sciences Research Council (grant WT 088641/Z/09/Z); the British Heart Foundation (award RE/08/03); the European Commission (FP7-ICT-224485:euHeart); the Department of Health via the National Institute for Health Research comprehensive Biomedical Research Centre award to Guy's and St. Thomas? National Health Service Foundation Trust in partnership with King's College London and King's College Hospital National Health Service Foundation Trust, UK; the Swedish Heart-Lung Foundation; the Medical Faculty of Lund University, Sweden; Skane University Hospital Lund, Sweden; the Foundation BLANCEFLOR Boncompagni-Ludovisi, n?e Bildt, Sweden; and the Swedish Societies of Medicine, Radiology and Cardiology.
Publisher Copyright:
© 2015 Scandinavian Society of Clinical Physiology and Nuclear Medicine. Published by John Wiley & Sons Ltd
PY - 2017/5/1
Y1 - 2017/5/1
N2 - Purpose: To validate ironload T2* by automatic inline Maximum Likelihood Estimate (MLE) with k-space Rician noise correction, against the manual and automated truncation, as well as offset methods, in phantoms and in heart and liver in patients. Methods: Twenty-five patients and an iron-oxide phantom were scanned at 1.5T using 2 multi-echo gradient-echo sequences. All parameters were identical (voxel 2–3 × 2–3 × 10 mm3, 10 echoes, TR = 26 ms, FA = 20°, BW = 833 Hz, SENSE = 2) except for TE (cardiac: TE1 = 2·5 ms, ΔTE = 2·5 ms; liver: TE1 = 1·2 ms, ΔTE = 1·5 ms). Phantoms were scanned at 1 and 32 signal averages (NSA), with NSA32 representing low-noise reference. Results: Phantoms: MLE showed low variability between NSA1 and NSA32 (0·02 ± 0·29 ms, CI ±0·21 ms). Between methods, no difference was shown (MLE versus all: <0·31 ms, CI < ±0·35 ms). Patients: No differences were found between methods in heart (MLE versus all: <−0·22 ms, CI < ±0·75 ms) or liver (MLE versus all: <0·12 ms, CI < ±0·26 ms). Conclusions: The automatic inline MLE method is comparable to the general reference standards for determining cardiac and liver T2* for ironload in man. An automatic inline method may simplify ironload assessment, particularly in centres seeing fewer cases.
AB - Purpose: To validate ironload T2* by automatic inline Maximum Likelihood Estimate (MLE) with k-space Rician noise correction, against the manual and automated truncation, as well as offset methods, in phantoms and in heart and liver in patients. Methods: Twenty-five patients and an iron-oxide phantom were scanned at 1.5T using 2 multi-echo gradient-echo sequences. All parameters were identical (voxel 2–3 × 2–3 × 10 mm3, 10 echoes, TR = 26 ms, FA = 20°, BW = 833 Hz, SENSE = 2) except for TE (cardiac: TE1 = 2·5 ms, ΔTE = 2·5 ms; liver: TE1 = 1·2 ms, ΔTE = 1·5 ms). Phantoms were scanned at 1 and 32 signal averages (NSA), with NSA32 representing low-noise reference. Results: Phantoms: MLE showed low variability between NSA1 and NSA32 (0·02 ± 0·29 ms, CI ±0·21 ms). Between methods, no difference was shown (MLE versus all: <0·31 ms, CI < ±0·35 ms). Patients: No differences were found between methods in heart (MLE versus all: <−0·22 ms, CI < ±0·75 ms) or liver (MLE versus all: <0·12 ms, CI < ±0·26 ms). Conclusions: The automatic inline MLE method is comparable to the general reference standards for determining cardiac and liver T2* for ironload in man. An automatic inline method may simplify ironload assessment, particularly in centres seeing fewer cases.
KW - algorithm
KW - automated
KW - heart
KW - ironload
KW - liver
KW - validation
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U2 - 10.1111/cpf.12303
DO - 10.1111/cpf.12303
M3 - Article
C2 - 26475530
AN - SCOPUS:84983121061
SN - 1475-0961
VL - 37
SP - 299
EP - 304
JO - Clinical Physiology and Functional Imaging
JF - Clinical Physiology and Functional Imaging
IS - 3
ER -