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Research ArticleClinical Investigations

Reproducibility of MRI Dixon-Based Attenuation Correction in Combined PET/MR with Applications for Lean Body Mass Estimation

Ivo Rausch, Petra Rust, Matthew D. DiFranco, Martin Lassen, Andreas Stadlbauer, Marius E. Mayerhoefer, Markus Hartenbach, Marcus Hacker and Thomas Beyer
Journal of Nuclear Medicine July 2016, 57 (7) 1096-1101; DOI: https://doi.org/10.2967/jnumed.115.168294
Ivo Rausch
1Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
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Petra Rust
2Department of Nutritional Sciences, University of Vienna, Vienna, Austria
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Matthew D. DiFranco
1Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
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Martin Lassen
1Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
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Andreas Stadlbauer
3Division of General and Pediatric Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria; and
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Marius E. Mayerhoefer
3Division of General and Pediatric Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria; and
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Markus Hartenbach
4Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
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Marcus Hacker
4Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
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Thomas Beyer
1Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
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  • FIGURE 1.
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    FIGURE 1.

    Examples of typical image artifacts in Dixon-based attenuation maps: missing tissue artifact (A), air cavities (B), truncation artifacts (C), and tissue swap artifact (D) with inverted ST and fat distributions in central bed position.

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    FIGURE 2.

    CV of total-body volume (TB). CVs are given for all MR-AC maps and for MR-AC maps excluding missing tissue artifacts, before and after exclusion of lung compartment.

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    FIGURE 3.

    CV of subcompartment volumes. CVs are shown for all MR-AC maps and for MR-AC maps excluding tissue swap and missing tissue artifacts (i.e., artifact-free).

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    FIGURE 4.

    Comparison of scaled LBMMR-AC and LBMFormula with LBMADP: using all MR-AC acquisitions (left) and excluding tissue swap and missing tissue artifacts (right). LBMMR-AC corrected values (*) are LBMMR-AC for the 2 volunteers with tissue swaps in all acquisitions for a single acquisition in which tissue swaps have been manually corrected.

Tables

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    TABLE 1

    Summary of Results for All Subjects

    SubjectSexHeight (cm)Body weight (kg)FatADP (kg)LBMADP (kg)LBMFormula (kg)LBMMR-AC (all MR-AC maps/excluding artifacts) (kg)Scaled LBMMR-AC (kg)
    1F16956.411.944.543.942.9/42.845.4
    2M17782.522.260.363.055.9/55.959.2
    3M17867.414.253.355.851.9/51.955.0
    4M16971.416.554.955.752.0/51.854.9
    5F17059.016.442.745.340.6/40.543.0
    6F16756.012.643.443.340.6/40.342.7
    7F16056.815.541.342.138.5/38.540.8
    8M18079.05.673.462.363.9/— (67.1*)— (71.1*)
    9M17971.75.066.858.359.3/— (60.7*)— (64.4*)
    10F16956.95.851.244.147.6/48.451.3
    • ↵* For these subjects, tissue swaps occurred in all repeated scans. Values in parentheses are extracted from 1 scan each for which tissue swaps were corrected manually. This was done by inverting ST and fat values in MR-AC maps in respective regions. This is predictive for LBM with no tissue swaps but is not supposed to result in same LBM gained from artifact-free MR-AC image.

    • LBMMR-AC column shows values of LBM gained for all acquisitions with and without tissue swap and missing tissue artifacts. Scaled LBMMR-AC column shows values scaled by scaling factor gained from linear regression.

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    TABLE 2

    Artifacts in Repeated Scans

    ParameterMissing tissueAir cavitiesTruncationTissue swaps
    Subjects4 of 1010 of 1010 of 104 of 10
    Scans6 of 3028 of 3030 of 308 of 30
    • Subjects row gives number of subjects in whom respective artifacts were observed. Scans row gives number of scans in total in which respective artifacts were observed.

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Journal of Nuclear Medicine: 57 (7)
Journal of Nuclear Medicine
Vol. 57, Issue 7
July 1, 2016
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Reproducibility of MRI Dixon-Based Attenuation Correction in Combined PET/MR with Applications for Lean Body Mass Estimation
Ivo Rausch, Petra Rust, Matthew D. DiFranco, Martin Lassen, Andreas Stadlbauer, Marius E. Mayerhoefer, Markus Hartenbach, Marcus Hacker, Thomas Beyer
Journal of Nuclear Medicine Jul 2016, 57 (7) 1096-1101; DOI: 10.2967/jnumed.115.168294

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Reproducibility of MRI Dixon-Based Attenuation Correction in Combined PET/MR with Applications for Lean Body Mass Estimation
Ivo Rausch, Petra Rust, Matthew D. DiFranco, Martin Lassen, Andreas Stadlbauer, Marius E. Mayerhoefer, Markus Hartenbach, Marcus Hacker, Thomas Beyer
Journal of Nuclear Medicine Jul 2016, 57 (7) 1096-1101; DOI: 10.2967/jnumed.115.168294
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