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Research ArticlePhysics and Instrumentation

Concurrent Respiratory Motion Correction of Abdominal PET and Dynamic Contrast-Enhanced–MRI Using a Compressed Sensing Approach

Niccolo Fuin, Onofrio A. Catalano, Michele Scipioni, Lisanne P.W. Canjels, David Izquierdo-Garcia, Stefano Pedemonte and Ciprian Catana
Journal of Nuclear Medicine September 2018, 59 (9) 1474-1479; DOI: https://doi.org/10.2967/jnumed.117.203943
Niccolo Fuin
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts
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Onofrio A. Catalano
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts
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Michele Scipioni
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts
2Department of Information Engineering, University of Pisa, Pisa, Italy; and
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Lisanne P.W. Canjels
3Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
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David Izquierdo-Garcia
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts
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Stefano Pedemonte
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts
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Ciprian Catana
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts
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  • FIGURE 1.
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    FIGURE 1.

    PET reconstructions for different respiratory gates, showing a coronal slice through a lesion in liver of patient 1. (A) End-of-inspiration motion phase. (B) Intermediate phase. (C) End-of-expiration phase.

  • FIGURE 2.
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    FIGURE 2.

    Comparison of uncorrected (A), MC1-min (B), and MC6-min (C) PET reconstructions for patient 1; showing coronal slice presented in Figure 1. The plots in D show line profiles through lesion for the 3 reconstructions methods: black = non–motion-corrected; red = MC1-min; blue = MC6-min.

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    FIGURE 3.

    Bar charts representing figures of merit for quantification of motion-compensation accuracy for MC1-min and MC6-min protocols with respect to non–motion-corrected PET images. (A) Differences in SUVmax. (B) Differences in SUVmean. (C) Differences in contrast. (D) Differences in SNR. (E) Differences in lesion volume (in cm3).

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    FIGURE 4.

    DCE-MR images of liver using moco_GRASP reconstruction (A–C), together with corresponding motion-corrected PET image (D), showing axial slice through lesion in liver of patient 1. (A) Non–contrast-enhanced phase. (B) Arterial dominant phase. (C) Portal venous phase. (D) Corresponding motion-corrected PET image.

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    TABLE 1

    MSE for Different Reduced Scan Times and for Different Reconstruction Methods, with Respect to Full 6-Minute Acquisition Using GRASP Reconstruction

    PatientMC6-ifftMC1-ifft1-min GRASP
    12192073956
    21781413463
    31841666287
    41551162218
    52211845489
    61651940938
    72051172309
    81471210256
    91791751429
    101341202293
    112221804460
    121781399483

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Journal of Nuclear Medicine: 59 (9)
Journal of Nuclear Medicine
Vol. 59, Issue 9
September 1, 2018
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Concurrent Respiratory Motion Correction of Abdominal PET and Dynamic Contrast-Enhanced–MRI Using a Compressed Sensing Approach
Niccolo Fuin, Onofrio A. Catalano, Michele Scipioni, Lisanne P.W. Canjels, David Izquierdo-Garcia, Stefano Pedemonte, Ciprian Catana
Journal of Nuclear Medicine Sep 2018, 59 (9) 1474-1479; DOI: 10.2967/jnumed.117.203943

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Concurrent Respiratory Motion Correction of Abdominal PET and Dynamic Contrast-Enhanced–MRI Using a Compressed Sensing Approach
Niccolo Fuin, Onofrio A. Catalano, Michele Scipioni, Lisanne P.W. Canjels, David Izquierdo-Garcia, Stefano Pedemonte, Ciprian Catana
Journal of Nuclear Medicine Sep 2018, 59 (9) 1474-1479; DOI: 10.2967/jnumed.117.203943
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Keywords

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