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Updated: May 6, 2026

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Whole-body PET/MRI of Pediatric Patients: The Details That Matter
Published on: December 19, 2017
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Implementation and performance evaluation of simultaneous PET/MR whole-body imaging with continuous table motion
Harald Braun1, Susanne Ziegler, Markus G Lentschig
1Institute of Medical Physics, University of Erlangen-Nuremberg, Erlangen, Germany; and.
Summary
Continuous table motion (CTM) in PET/MR imaging offers comparable data quality to multistation methods. This approach enhances flexibility and efficiency in whole-body hybrid imaging workflows.
Area of Science:
- Medical Imaging
- Hybrid Imaging Technologies
- Radiochemistry and Nuclear Medicine
Background:
- Current PET/MR systems use multistation acquisition, which has workflow and efficiency limitations.
- Simultaneous PET and MR data acquisition requires optimized strategies for whole-body imaging.
Purpose of the Study:
- To present the technical implementation of simultaneous PET and MR data acquisition using continuous table motion (CTM).
- To evaluate the image quality of PET and MR data acquired with CTM across various table motion speeds.
Main Methods:
- Utilized an integrated whole-body PET/MR system for phantom, volunteer, and patient data acquisition.
- Quantified PET and MR image quality parameters (SNR, distortions, artifacts) at different table speeds.
- Validated CTM protocols in realistic volunteer and clinical patient settings.
Main Results:
- PET image quality, SNR, geometry, and artifact behavior were unaffected by CTM speeds up to 46 mm/s.
- MR image quality with CTM was comparable to multistation acquisition, with minor differences in signal intensity normalization.
- CTM demonstrated feasibility for clinical workflow integration.
Conclusions:
- Continuous table motion (CTM) PET/MR acquisition yields data quality comparable to multistation methods.
- CTM offers enhanced flexibility and efficiency for simultaneous whole-body PET/MR imaging.
- This acquisition paradigm facilitates improved examination planning and hybrid imaging workflows.

