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

Steffie M. B. Peters*, Niels R. van der Werf, Marcel Segbers, Floris H. P. van Velden, Roel Wierts, Koos J. A. K. Blokland, Mark W. Konijnenberg, Sergiy Lazarenko, Eric P. Visser, Martin Gotthardt

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


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 (TM) NM/CT 670 Pro (GE Healthcare), Precedence (TM) 6 (Philips Healthcare), Symbia Intevo (TM), and Symbia (TM) 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/m(2). Six spheres (0.5-26.5 mL) and background were filled with 0.1 and 0.01 MBq/mL Tc-99m-pertechnetate, respectively. Volumes of interest (VOI) of spheres were obtained by a region growing technique using a 50% threshold of the maximum voxel value corrected for background activity. RC, defined as imaged activity concentration divided by actual activity concentration, were determined for maximum (RCmax) and mean voxel value (RCmean) in the VOI for each sphere diameter. Inter-system variability was expressed as median absolute deviation (MAD) of RC. Acquisition settings were standardized. Images were reconstructed using vendor-specific 3D iterative reconstruction algorithms with institute-specific settings used in clinical practice and processed using a standardized, in-house developed processing tool based on the SimpleITK framework. Additionally, all data were reconstructed with a vendor-neutral reconstruction algorithm (Hybrid Recon (TM); Hermes Medical Solutions). Results RC decreased with decreasing sphere diameter for each system. Inter-system variability (MAD) was 16 and 17% for RCmean and RCmax, respectively. Standardized reconstruction decreased this variability to 4 and 5%. High BMI hampers quantification of small lesions (<10 ml). Conclusion Absolute SPECT quantification in a multi-center and multi-vendor setting is feasible, especially when reconstruction protocols are standardized, paving the way for a standard for absolute quantitative SPECT.

Original languageEnglish
Article number29
Number of pages14
JournalEJNMMI Physics
Issue number1
Publication statusPublished - 26 Dec 2019


  • CT
  • absolute quantification
  • recovery coefficient
  • performance evaluation
  • PET

Cite this