Abstract

Background

The Siemens high-resolution research tomograph (HRRT - a dedicated brain PET scanner) is to this day one of the highest resolution PET scanners; thus, it can serve as useful benchmark when evaluating performance of newer scanners. Here, we report results from a cross-validation study between the HRRT and the whole-body GE SIGNA PET/MR focusing on brain imaging.

Phantom data were acquired to determine recovery coefficients (RCs), % background variability (%BG), and image voxel noise (%). Cross-validation studies were performed with six healthy volunteers using [11C]DTBZ, [11C]raclopride, and [18F]FDG. Line profiles, regional time-activity curves, regional non-displaceable binding potentials (BPND) for [11C]DTBZ and [11C]raclopride scans, and radioactivity ratios for [18F]FDG scans were calculated and compared between the HRRT and the SIGNA PET/MR.

Results

Phantom data showed that the PET/MR images reconstructed with an ordered subset expectation maximization (OSEM) algorithm with time-of-flight (TOF) and TOF + point spread function (PSF) + filter revealed similar RCs for the hot spheres compared to those obtained on the HRRT reconstructed with an ordinary Poisson-OSEM algorithm with PSF and PSF + filter. The PET/MR TOF + PSF reconstruction revealed the highest RCs for all hot spheres. Image voxel noise of the PET/MR system was significantly lower. Line profiles revealed excellent spatial agreement between the two systems. BPND values revealed variability of less than 10% for the [11C]DTBZ scans and 19% for [11C]raclopride (based on one subject only). Mean [18F]FDG ratios to pons showed less than 12% differences.

Conclusions

These results demonstrated comparable performances of the two systems in terms of RCs with lower voxel-level noise (%) present in the PET/MR system. Comparison of in vivo human data confirmed the comparability of the two systems. The whole-body GE SIGNA PET/MR system is well suited for high-resolution brain imaging as no significant performance degradation was found compared to that of the reference standard HRRT.

Details

Title
Cross-validation study between the HRRT and the PET component of the SIGNA PET/MRI system with focus on neuroimaging
Author
Mannheim, Julia G 1   VIAFID ORCID Logo  ; Ju-Chieh, Cheng 2 ; Vafai Nasim 3 ; Shahinfard Elham 3 ; English, Carolyn 3 ; McKenzie Jessamyn 4 ; Zhang, Jing 5 ; Barlow, Laura 6 ; Sossi Vesna 7 

 University of British Columbia, Department of Physics and Astronomy, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); Eberhard-Karls University Tuebingen, Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Tuebingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447); University of Tuebingen, Cluster of Excellence iFIT (EXC 2180) “Image Guided and Functionally Instructed Tumor Therapies”, Tuebingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447) 
 University of British Columbia, Department of Physics and Astronomy, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); University of British Columbia, Pacific Parkinson’s Research Centre, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830) 
 University of British Columbia, Pacific Parkinson’s Research Centre, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830) 
 University of British Columbia & Vancouver Coastal Health, Djavad Mowafaghian Centre for Brain Health, Pacific Parkinson’s Research Centre, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830) 
 GE Healthcare Canada, Global MR Applications & Workflow, Vancouver, Canada (GRID:grid.17091.3e) 
 University of British Columbia, UBC MRI Research Centre, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830) 
 University of British Columbia, Department of Physics and Astronomy, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830) 
Publication year
2021
Publication date
Feb 2021
Publisher
Springer Nature B.V.
e-ISSN
21977364
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2493707305
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.