Myocardial T2 mapping with respiratory navigator and automatic nonrigid motion correction

Authors

  • Shivraman Giri,

    1. Department of Biomedical Engineering, The Ohio State University, Columbus, Ohio, USA
    2. Dorothy M. Davis Heart & Lung Research Institute, The Ohio State University, Columbus, Ohio, USA
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  • Saurabh Shah,

    1. Siemens Healthcare, Chicago, Illinois, USA
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  • Hui Xue,

    1. Siemens Corporate Research, Princeton, New Jersey, USA
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  • Yiu-Cho Chung,

    1. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
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  • Michael L. Pennell,

    1. Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio, USA
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  • Jens Guehring,

    1. Siemens Corporate Research, Princeton, New Jersey, USA
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  • Sven Zuehlsdorff,

    1. Siemens Healthcare, Chicago, Illinois, USA
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  • Subha V. Raman,

    1. Dorothy M. Davis Heart & Lung Research Institute, The Ohio State University, Columbus, Ohio, USA
    2. Department of Internal Medicine, Division of Cardiovascular Medicine, The Ohio State University, Columbus, Ohio, USA
    3. Department of Radiology, The Ohio State University, Columbus, Ohio, USA
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  • Orlando P. Simonetti

    Corresponding author
    1. Department of Biomedical Engineering, The Ohio State University, Columbus, Ohio, USA
    2. Dorothy M. Davis Heart & Lung Research Institute, The Ohio State University, Columbus, Ohio, USA
    3. Department of Internal Medicine, Division of Cardiovascular Medicine, The Ohio State University, Columbus, Ohio, USA
    4. Department of Radiology, The Ohio State University, Columbus, Ohio, USA
    • The Ohio State University, 460 West 12th Avenue, Room 316 Biomedical Research Tower, Columbus, OH 43210

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Abstract

Quantitative T2 mapping was recently shown to be superior to T2-weighted imaging in detecting T2 changes across myocardium. Pixel-wise T2 mapping is sensitive to misregistration between the images used to generate the parameter map. In this study, utility of two motion-compensation strategies—(i) navigator gating with prospective slice correction and (ii) nonrigid registration—was investigated for myocardial T2 mapping in short axis and horizontal long axis views. Navigator gating provides respiratory motion compensation, whereas registration corrects for residual cardiac and respiratory motion between images; thus, the two strategies provided complementary functions. When these were combined, respiratory-motion-induced T2 variability, as measured by both standard deviation and interquartile range, was comparable to that in breath-hold T2 maps. In normal subjects, this combined motion-compensation strategy increased the percentage of myocardium with T2 measured to be within normal range from 60.1% to 92.2% in short axis and 62.3% to 92.7% in horizontal long axis. The new motion-compensated T2 mapping technique, which combines navigator gating, prospective slice correction, and nonrigid registration to provide through-plane and in-plane motion correction, enables a method for fully automatic and robust free-breathing T2 mapping. Magn Reson Med, 2012. © 2012 Wiley Periodicals, Inc.

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