Towards standardization of absolute SPECT/CT quantification: a multi-center and multi-vendor phantom study

Abstract Absolute quantification of radiotracer distribution using SPECT/CT imaging is of great importance for dosimetry aimed at personalized radionuclide precision treatment. However, its accuracy depends on many factors. Using phantom measurements, this multi-vendor and multi-center study evaluates the quantitative accuracy and inter-system variability of various SPECT/CT systems as well as the effect of patient size, processing software and reconstruction algorithms on recovery coefficients (RC). Methods Five SPECT/CT systems were included: Discovery™ NM/CT 670 Pro (GE Healthcare), Precedence™ 6 (Philips Healthcare), Symbia Intevo™, and Symbia™ T16 (twice) (Siemens Healthineers). Three phantoms were used based on the NEMA IEC body phantom without lung insert simulating body mass indexes (BMI) of 25, 28, and 47 kg/m2. Six spheres (0.5–26.5 mL) and background were filled with 0.1 and 0.01 MBq/mL 99mTc-pertechnetate, respectively. Volumes of interest (VOI) of spheres were obtained by a region growing techniq...

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PID https://www.doi.org/10.6084/m9.figshare.c.4798143.v1
PID https://www.doi.org/10.6084/m9.figshare.c.4798143
URL https://dx.doi.org/10.6084/m9.figshare.c.4798143.v1
URL https://dx.doi.org/10.6084/m9.figshare.c.4798143
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Author Peters, Steffie
Author Werf, Niels
Author Segbers, Marcel
Author Velden, Floris
Author Wierts, Roel
Author Blokland, Koos
Author Konijnenberg, Mark
Author Lazarenko, Sergiy
Author Visser, Eric
Author Gotthardt, Martin
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Collected From Datacite
Hosted By figshare
Publication Date 2019-12-27
Publisher figshare
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keyword FOS: Biological sciences
keyword FOS: Earth and related environmental sciences
system:type dataset
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::48bde59b620624525793b0b3aeddba52
Author jsonws_user
Last Updated 16 December 2020, 01:40 (CET)
Created 16 December 2020, 01:40 (CET)