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Research ArticlePhysics/Instrumentation

PET/MRI for Oncologic Brain Imaging: A Comparison of Standard MR-Based Attenuation Corrections with a Model-Based Approach for the Siemens mMR PET/MR System

Ivo Rausch, Lucas Rischka, Claes N. Ladefoged, Julia Furtner, Matthias Fenchel, Andreas Hahn, Rupert Lanzenberger, Marius E. Mayerhoefer, Tatjana Traub-Weidinger and Thomas Beyer
Journal of Nuclear Medicine September 2017, 58 (9) 1519-1525; DOI: https://doi.org/10.2967/jnumed.116.186148
Ivo Rausch
1Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
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Lucas Rischka
2Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
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Claes N. Ladefoged
3Department of Clinical Physiology, Nuclear Medicine and PET, University of Copenhagen, Copenhagen, Denmark
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Julia Furtner
4Division of Neuroradiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
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Matthias Fenchel
5Siemens Healthcare GmbH, Magnetic Resonance, Erlangen, Germany; and
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Andreas Hahn
2Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
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Rupert Lanzenberger
2Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
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Marius E. Mayerhoefer
4Division of Neuroradiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
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Tatjana Traub-Weidinger
6Division 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.

    Example of artifact categories. Axial views at 2 main axial levels of same patient and different AC methods: CT—reference (A), DIXON—artificial filling of air cavities with tissue (B), UTE—overestimation of air cavities due to susceptibility artifacts (C), and BD-based MR-AC—translation of artifacts found in DIXON (D). Arrows indicate artifacts.

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    FIGURE 2.

    Axial views of patient with tumor recurrence imaged with 18F-FET (top) and patient with a meningeal tumor formation imaged with 68Ga-DOTANOC (bottom). PET images were reconstructed after AC using: CTref—reference (A), DIXON (B), UTE (C), and BD (D).

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    FIGURE 3.

    Box plots of RD of SUVmax and SUVmean, VOI70 (volume), and LBRs of SUVmax (LBRmax) and SUVmean (LBRmean) according to CTref for 18F-FET–avid lesions and 3 different AC methods.

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    FIGURE 4.

    Box plots of RD of SUVmax and SUVmean and VOI50 (volume) according to CTref for lesions in 68Ga-DOTANOC scans and 3 different AC methods. Data included 11 meningeal tumor formations and for 5 patients additionally pituitary gland (in 2 patients, pituitary gland could not be separated from tumor formation).

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    FIGURE 5.

    Box plots of RD of SUVmax and SUVmean and VOI50 (volume) according to CTref for evaluated lesions in 68Ga-DOTANOC scans and 3 different AC methods. (A) Findings for lesions and pituitary gland in skull base (n = 9). (B) Results for lesions attached to skull cap (n = 7).

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    FIGURE 6.

    Average RD of 10 reference regions within brain for 18F-FDG scans of healthy subjects. Error bars correspond to respective RD SD for each reference region. *Corresponding RDs of SUVmean for VOI70 of 18F-FET–avid lesions. Lesions were assigned to reference regions used in 18F-FDG evaluation by experienced nuclear medicine expert.

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    TABLE 1

    Mean RDs in Percentage (±SD) of All Investigated Values for 18F-FET and 68Ga-DOTANOC Scans

    18F-FET68Ga-DOTANOC
    ParameterDixonUTEBDDixonUTEBD
    SUVmax−10 ± 3−4 ± 3−3 ± 3−11 ± 8−11 ± 8−3 ± 6
    SUVmean−10 ± 4−4 ± 3−3 ± 3−11 ± 7−11 ± 8−3 ± 5
    Volume+1 ± 9+2 ± 8+7 ± 28*+1 ± 4−4 ± 12−3 ± 10
    LBRmax−2 ± 30 ± 30 ± 5———
    LBRmean−3 ± 30 ± 30 ± 2———
    • ↵* Includes 1 patient with a volume difference of +103%.

    • LBRmax = LBRs of SUVmax; LBRmean = LBRs of SUVmean.

    • Images of whole brain, segmented by threshold-based segmentation, were excluded from calculations.

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Journal of Nuclear Medicine: 58 (9)
Journal of Nuclear Medicine
Vol. 58, Issue 9
September 1, 2017
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PET/MRI for Oncologic Brain Imaging: A Comparison of Standard MR-Based Attenuation Corrections with a Model-Based Approach for the Siemens mMR PET/MR System
Ivo Rausch, Lucas Rischka, Claes N. Ladefoged, Julia Furtner, Matthias Fenchel, Andreas Hahn, Rupert Lanzenberger, Marius E. Mayerhoefer, Tatjana Traub-Weidinger, Thomas Beyer
Journal of Nuclear Medicine Sep 2017, 58 (9) 1519-1525; DOI: 10.2967/jnumed.116.186148

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PET/MRI for Oncologic Brain Imaging: A Comparison of Standard MR-Based Attenuation Corrections with a Model-Based Approach for the Siemens mMR PET/MR System
Ivo Rausch, Lucas Rischka, Claes N. Ladefoged, Julia Furtner, Matthias Fenchel, Andreas Hahn, Rupert Lanzenberger, Marius E. Mayerhoefer, Tatjana Traub-Weidinger, Thomas Beyer
Journal of Nuclear Medicine Sep 2017, 58 (9) 1519-1525; DOI: 10.2967/jnumed.116.186148
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Keywords

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