Technical Note: A digital reference object representing Hoffman's 3D brain phantom for PET scanner simulations.
PET
SPECT
brain imaging quality assessment
phantoms
simulations
Journal
Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746
Informations de publication
Date de publication:
Mar 2020
Mar 2020
Historique:
received:
21
03
2019
revised:
06
11
2019
accepted:
12
11
2019
pubmed:
9
1
2020
medline:
30
12
2020
entrez:
9
1
2020
Statut:
ppublish
Résumé
Physical and digital phantoms play a key role in the development and testing of nuclear medicine instrumentation and processing algorithms for clinical and research applications, including neuroimaging using positron emission tomography (PET). We have developed and tested a digital reference object (DRO) version of the original segmented magnetic resonance imaging (MRI) data used for the three-dimensional (3D) PET brain phantom developed by Hoffman et al., which is used as the basis of a commercially available physical test phantom. The DRO was constructed by subdividing the MRI image planes the original phantom was based on to create equal-thickness slices and re-labeling voxels. The digital data was then embedded in a PET Digital Imaging and Communications in Medicine format and tested for compliance. We then tested the DRO by comparing it to computed tomography (CT) images of the physical phantom summed to form composite slices with axial extent similar to the DRO, but with a factor of two better in-slice resolution. For composite slices, 91% of voxels were labeled in full agreement, 5% of the voxels were 50-75% accurate, and the remaining 4% of voxels had 25% or less agreement. This DRO can be used as an input for PET scanner simulation studies or for comparing simulations to measured Hoffman phantom images.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1174-1180Informations de copyright
© 2020 American Association of Physicists in Medicine.
Références
Hoffman EJ, Cutler PD, Digby WM, Mazziotta JC. 3-D phantom to simulate cerebral blood flow and metabolic images for PET. IEEE Trans Nucl Sci. 1990;37:616-620.
NEMA Standards Publication NU 2-2018 - Performance Measurements of Positron Emission Tomographs (PET). Rosslyn, VA: National Electrical Manufacturers Association; 2018.
Kadrmas DJ, Christian PE. Comparative evaluation of lesion detectability for 6 PET imaging platforms using a highly reproducible whole-body phantom with (22)Na lesions and localization ROC analysis. J Nucl Med. 2002;43:1545-1554.
Joshi A, Koeppe RA, Fessler JA. Reducing between scanner differences in multi-center PET studies. NeuroImage. 2009;46:154-159.
Zubal IG, Harrell CR, Smith EO, Rattner Z, Gindi G, Hoffer PB. Computerized three-dimensional segmented human anatomy. Med Phys. 1994;21:299-302.
Segars WP, Tsui BMW. MCAT to XCAT: the evolution of 4-D computerized phantoms for imaging research. Proc IEEE. 2009;97:1954-1968.
Aubert-Broche B, Evans AC, Collins L. A new improved version of the realistic digital brain phantom. NeuroImage. 2006;32:138-145.
Papadimitroulas P, Loudos G, Le Maitre A, et al. Investigation of realistic PET simulations incorporating tumor patient’s specificity using anthropomorphic models: creation of an oncology database. Med Phys. 2013;40:112506.
Pierce LA, Elston BF, Clunie DA, Nelson D, Kinahan PE. A digital reference object to analyze calculation accuracy of PET standardized uptake value. Radiology. 2015;277:538-545.
Data Spectrum Corporation. Data Spectrum Corporation Hoffman 3-D Brain Phantom™; 2016. http://www.spect.com/pub/Hoffman_3D_Phantom.pdf
Lewellen TK, Kohlmyer SG, Miyaoka RS, Kaplan MS, Stearns CW, Schubert SF. Investigation of the performance of the general electric ADVANCE positron emission tomograph in 3D mode. IEEE Trans Nucl Sci. 1996;43:2199-2206.
Cherry SR, Huang S-C. Effects of scatter on model parameter estimates in 3D PET studies of the human brain. IEEE Trans Nucl Sci. 1995;42:1174-1179.
Bouallegue FB, Crouzet JF, Dubois A, Mariano-Goulart D. Statistic-algebraic tuning optimization for regularized iterative reconstruction (PML and EMS) in emission tomography. IEEE Trans Nucl Sci. 2013;60:144-157.
Harrison RL, Elston BF, Byrd DW, et al. A digital reference object for the 3D Hoffman brain phantom for characterization of PET neuroimaging quality. 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference. 20131-4.
Jaszczak RJ. Personal communication; 2013.
Hoffman EJ, Cutler PD, Digby WM, Mazziotta JC. 3-D phantom to simulate cerebral blood flow and metabolic images for PET. IEEE Trans Nucl Sci. 1990;37:616-620.
Data Spectrum Corporation. Hoffman 3-D Brain Phantom™ Model BR/3D/P; 2016. http://www.spect.com/pub/Hoffman_3D_Phantom.pdf
Teräs M, Tolvanen T, Johansson JJ, Williams JJ, Knuuti J. Performance of the new generation of whole-body PET/CT scanners: discovery STE and discovery VCT. Eur J Nucl Med Mol Imaging. 2007;34:1683-1692.
Comtat C, Kinahan PE, Defrise M, Michel C, Lartizien C, Townsend DW. Simulating whole-body PET scanning with rapid analytical. methods. 1999 IEEE Nuclear Science Symposium.1999;3:1260-1264.
Kinahan PE, Rogers JG. Analytic 3D image-reconstruction using all detected events. IEEE Trans Nucl Sci. 1989;36:964-968.
Bettinardi V, Presotto L, Rapisarda E, Picchio M, Gianolli L, Gilardi MC. Physical performance of the new hybrid PET∕CT discovery-690. Med Phys. 2011;38:5394-5411.
Harrison RL, Elston BF, Byrd DW, et al.A digital reference object for the 3D Hoffman brain phantom for characterization of PET neuroimaging quality; 2015. https://depts.washington.edu/petctdro/index.html