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@ARTICLE{SalvadorRibs:300294,
author = {C. Salvador-Ribés and C. Soler-Pons and M. J.
Sánchez-García and T. Fechter$^*$ and C. Olivas and I.
Torres-Espallardo and J. Pérez-Calatayud and D. Baltas$^*$
and M. Mix and L. Martí-Bonmatí and M. Carles},
title = {{O}pen-source phantom with dedicated in-house software for
image quality assurance in hybrid {PET} systems.},
journal = {EJNMMI Physics},
volume = {12},
number = {1},
issn = {2197-7364},
address = {Heidelberg},
publisher = {SpringerOpen},
reportid = {DKFZ-2025-00747},
pages = {35},
year = {2025},
abstract = {Patients' diagnosis, treatment and follow-up increasingly
rely on multimodality imaging. One of the main limitations
for the optimal implementation of hybrid systems in clinical
practice is the time and expertise required for applying
standardized protocols for equipment quality assurance (QA).
Experimental phantoms are commonly used for this purpose,
but they are often limited to a single modality and single
quality parameter, lacking automated analysis capabilities.
In this study, we developed a multimodal 3D-printed phantom
and software for QA in positron emission tomography (PET)
hybrid systems, with computed tomography (CT) or magnetic
resonance (MR), by assessing signal, spatial resolution,
radiomic features, co-registration and geometric
distortions.Phantom models and Python software for the
proposed QA are available to download, and a user-friendly
plugin compatible with the open-source 3D-Slicer software
has been developed. The QA viability was proved by
characterizing a Philips-Gemini-TF64-PET/CT in terms of
signal response (mean, µ), intrinsic variability for three
consecutive measurements (daily variation coefficient, CoVd)
and reproducibility over time (variation coefficient across
5 months, CoVm). For this system, averaged recovery
coefficient for activity concentration was µ = 0.90 ± 0.08
(CoVd = $0.6\%,$ CoVm = $9\%)$ in volumes ranging from 7 to
42 ml. CT calibration-curve averaged over time was HU = (
951 ± 12 ) × density - ( 944 ± 15 ) with variability of
slope and y-intercept of (CoVd = $0.4\%,$ CoVm = $1.2\%)$
and (CoVd = $0.4\%,$ CoVm = $1.6\%),$ respectively.
Radiomics reproducibility resulted in (CoVd = $18\%,$ CoVm =
$30\%)$ for PET and (CoVd = $15\%,$ CoVm = $22\%)$ for CT.
Co-registration was assessed by Dice-Similarity-Coefficient
(DSC) along 37.8 cm in superior-inferior (z) direction (well
registered if DSC ≥ 0.91 and Δz ≤ 2 mm), resulting in
3/7 days well co-registered. Applicability to other scanners
was additionally proved with Philips-Vereos-PET/CT (V),
Siemens-Biograph-Vison-600-PET/CT (S) and GE-SIGNA-PET/MR
(G). PET concentration accuracy was (µ = 0.86, CoVd =
$0.3\%)$ for V, (µ = 0.87, CoVd = $0.8\%)$ for S, and (µ =
1.10, CoVd = $0.34\%)$ for G. MR(T2) was well co-registered
with PET in 3/4 cases, did not show significant distortion
within a transaxial diameter of 27.8 cm and along 37 cm in
z, and its radiomic variability was CoVd =
$13\%.Open-source$ QA protocol for PET hybrid systems has
been presented and its general applicability has been
proved. This package facilitates simultaneously simple and
semi-automated evaluation for various imaging modalities,
providing a complete and efficient QA solution.},
keywords = {3D-printing (Other) / Experimental phantoms (Other) /
Medical imaging (Other) / Oncology (Other) / PET/CT (Other)
/ PET/MR (Other) / Quality assurance (Other) / Radiotherapy
(Other)},
cin = {FR01},
ddc = {610},
cid = {I:(DE-He78)FR01-20160331},
pnm = {899 - ohne Topic (POF4-899)},
pid = {G:(DE-HGF)POF4-899},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:40192938},
doi = {10.1186/s40658-025-00741-8},
url = {https://inrepo02.dkfz.de/record/300294},
}