Quantification of image quality and partial volume effect along the axial field-of-view of uMI Panorama GS PET/CT system for multiple radionuclides

EJNMMI Physics · Published 2026-07-20 · DOI 10.1186/s40658-026-00915-y

Free full text

Authors (11)

Haiqiong Zhang, Guangjie Yang, Linfeng Li, Meixi Liu, Tong Wang, Xueqian Yang, Ziwei Liang, Mengshi Yan, Hongli Jing, Haiqun Xing, Li Huo

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Zhang, H., Yang, G., Li, L., et al. (2026). Quantification of image quality and partial volume effect along the axial field-of-view of uMI Panorama GS PET/CT system for multiple radionuclides. EJNMMI Physics. https://doi.org/10.1186/s40658-026-00915-y

Related articles

• Impact of scan duration and scatter correction on quantitative accuracy in Yttrium-90 PET/CT imaging using LAFOV and SAFOV systems: a phantom and clinical evaluation · EJNMMI Physics · 2026 · Same journal
• Evaluation of regularization factor and attenuation correction method of Q.Clear reconstruction for brain PET/MR in epileptic patients · EJNMMI Physics · 2026 · Same journal
• A novel dynamic cardiac phantom for comparing blood pool and myocardial perfusion tracers: initial evaluation with CZT-ERNA and PET-MPI · EJNMMI Physics · 2026 · Same journal
• An international study of factors affecting variability of dosimetry calculations, part 5: impact of segmentation methods · EJNMMI Physics · 2026 · Same journal
• Analysis of external dose rate attenuation and its related factors in differentiated thyroid carcinoma patients following I-131 therapy · EJNMMI Physics · 2026 · Same journal
• Gravity versus pump-driven infusion in targeted radionuclide therapy: a model-based dosimetric evaluation of extravasation · EJNMMI Physics · 2026 · Same journal
• A deep learning framework for lesion-level treatment response prediction in hodgkin lymphoma using PET/CT tensor radiomics · EJNMMI Physics · 2026 · Same journal
• The impact of data driven motion correction for clinical brain PET/MRI radiotracers · EJNMMI Physics · 2026 · Same journal
• Amyloid PET quantification with deep learning segmentation models without MRI · EJNMMI Physics · 2026 · Same journal
• Clinical value of artificial intelligence in reducing PET image acquisition time: routine clinical validation using qualitative, quantitative, and radiomic analysis on a cohort of 282 patients undergoing [18F]FDG and [68Ga]Ga-PSMA-11 PET/CT · EJNMMI Physics · 2026 · Same journal