Automated truncation method for myocardial T2* measurement in thalassemia |
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Authors: | Taigang He PhD Jun Zhang PhD John‐Paul Carpenter MD Yanqiu Feng PhD Gillian C. Smith MSc Dudley J. Pennell MD David N. Firmin PhD |
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Affiliation: | 1. Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, UK;2. National Heart and Lung Institute, Imperial College, London, UK;3. College of Information System & Management, National University of Defence Technology, Changsha, China;4. School of Biomedical Engineering, Southern Medical University, China |
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Abstract: | Purpose: To propose an automated truncation method for myocardial T2* measurement and evaluate this method on a large population of patients with iron loading in the heart and scanned at multiple magnetic resonance imaging (MRI) centers. Materials and Methods: A total of 550 thalassemia patients were scanned at 20 international centers using a variety of MR scanners (Siemens, Philips, or GE). A single mid‐ventricular short axis slice was imaged. All patient data were anonymized before the T2* were measured by expert observers using standard techniques. These same datasets were then retrospectively processed using the proposed automated truncation method by another independent observer and the resulting T2* measurements were compared with those of expert readings. Results: The T2* measurements using the automated method showed good agreement with those measured by expert observers using standard techniques (P = 0.95) with a low coefficient of variation (1.6%). Conclusion: This study demonstrates feasibility and good reproducibility of a new automated truncation method for myocardial T2* measurement. This approach simplifies the overall analysis and can be easily incorporated into T2* analysis software to facilitate further development of a fully automated myocardial tissue iron quantification. J. Magn. Reson. Imaging 2013;37:479–483. © 2012 Wiley Periodicals, Inc. |
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Keywords: | CMR myocardial T2* automated truncation method thalassemia iron overload |
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