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Automated truncation method for myocardial T2* measurement in thalassemia

Authors

  • Taigang He PhD,

    Corresponding author
    1. Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, UK
    2. National Heart and Lung Institute, Imperial College, London, UK
    • Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, Sydney Street, London SW3 6NP, UK
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  • Jun Zhang PhD,

    1. College of Information System & Management, National University of Defence Technology, Changsha, China
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  • John-Paul Carpenter MD,

    1. Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, UK
    2. National Heart and Lung Institute, Imperial College, London, UK
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  • Yanqiu Feng PhD,

    1. School of Biomedical Engineering, Southern Medical University, China
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  • Gillian C. Smith MSc,

    1. Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, UK
    2. National Heart and Lung Institute, Imperial College, London, UK
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  • Dudley J. Pennell MD,

    1. Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, UK
    2. National Heart and Lung Institute, Imperial College, London, UK
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  • David N. Firmin PhD

    1. Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, UK
    2. National Heart and Lung Institute, Imperial College, London, UK
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  • The first two authors contributed equally to this article.

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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