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Automatic quantification of epicardial fat volume on non-enhanced cardiac CT scans using a multi-atlas segmentation approach
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10.1118/1.4817577
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    Affiliations:
    1 Quantitative Imaging Group, Faculty of Applied Sciences, Delft University of Technology, 2628 CJ Delft, The Netherlands and Biomedical Imaging Group Rotterdam, Departments of Radiology and Medical Informatics, Erasmus Medical Center, 3015 GE Rotterdam, The Netherlands
    2 Department of Radiology, Erasmus Medical Center, 3015 GE Rotterdam, The Netherlands and Department of Epidemiology, Erasmus Medical Center, 3015 GE Rotterdam, The Netherlands
    3 Biomedical Imaging Group Rotterdam, Departments of Radiology and Medical Informatics, Erasmus Medical Center, 3015 GE Rotterdam, The Netherlands
    4 Department of Radiology, Erasmus Medical Center, 3015 GE Rotterdam, The Netherlands
    5 Biomedical Imaging Group Rotterdam, Departments of Radiology and Medical Informatics, Erasmus Medical Center, 3015 GE Rotterdam, The Netherlands
    6 Department of Radiology, Erasmus Medical Center, 3015 GE Rotterdam, The Netherlands
    7 Biomedical Imaging Group Rotterdam, Departments of Radiology and Medical Informatics, Erasmus Medical Center, 3015 GE Rotterdam, The Netherlands
    8 Department of Epidemiology, Erasmus Medical Center, 3015 GE Rotterdam, The Netherlands
    9 Department of Radiology, Erasmus Medical Center, 3015 GE Rotterdam, The Netherlands
    10 Quantitative Imaging Group, Faculty of Applied Sciences, Delft University of Technology, 2628 CJ Delft, The Netherlands and Biomedical Imaging Group Rotterdam, Departments of Radiology and Medical Informatics, Erasmus Medical Center, 3015 GE Rotterdam, The Netherlands
    11 Quantitative Imaging Group, Faculty of Applied Sciences, Delft University of Technology, 2628 CJ Delft, The Netherlands
    12 Biomedical Imaging Group Rotterdam, Departments of Radiology and Medical Informatics, Erasmus Medical Center, 3015 GE Rotterdam, The Netherlands
    a) Electronic mail: R.Shahzad@tudelft.nl
    Med. Phys. 40, 091910 (2013); http://dx.doi.org/10.1118/1.4817577
/content/aapm/journal/medphys/40/9/10.1118/1.4817577
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/content/aapm/journal/medphys/40/9/10.1118/1.4817577
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/content/aapm/journal/medphys/40/9/10.1118/1.4817577
2013-08-12
2014-12-20
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Automatic quantification of epicardial fat volume on non-enhanced cardiac CT scans using a multi-atlas segmentation approach
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/40/9/10.1118/1.4817577
10.1118/1.4817577
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