Your browser doesn't support javascript.
loading
Performance Evaluation of the uMI Panorama PET/CT System in Accordance with the National Electrical Manufacturers Association NU 2-2018 Standard.
Li, Guiyu; Ma, Wenhui; Li, Xiang; Yang, Weidong; Quan, Zhiyong; Ma, Taoqi; Wang, Junling; Wang, Yunya; Kang, Fei; Wang, Jing.
Afiliação
  • Li G; Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
  • Ma W; Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
  • Li X; Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
  • Yang W; Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
  • Quan Z; Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
  • Ma T; Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
  • Wang J; Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
  • Wang Y; Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
  • Kang F; Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China 13909245902@163.com fmmukf@qq.com.
  • Wang J; Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China 13909245902@163.com fmmukf@qq.com.
J Nucl Med ; 2024 Feb 22.
Article em En | MEDLINE | ID: mdl-38388513
ABSTRACT
The uMI Panorama is a novel PET/CT system using silicon photomultiplier and application-specific integrated circuit technologies and providing exceptional spatial and time-of-flight (TOF) resolutions. The objective of this study was to assess the physical performance of the uMI Panorama in accordance with the National Electrical Manufacturers Association (NEMA) NU 2-2018 standard.

Methods:

Spatial resolution, sensitivity, count rate performance, accuracy, image quality, and TOF resolution were evaluated in accordance with the guidelines outlined in the NEMA NU 2-2018 standard. Energy resolution was determined using the same dataset acquired for the count rate performance evaluation. Images from a Hoffman brain phantom, a mini-Derenzo phantom, and 3 patient studies were evaluated to demonstrate system performance.

Results:

The transaxial spatial resolution at full width at half maximum was measured as 2.88 mm with a 1-cm offset from the center axial field of view. The sensitivity at the center axial field of view was 20.1 kcps/MBq. At an activity concentration of 73.0 kBq/mL, the peak noise-equivalent count rate (NECR) reached 576 kcps with a scatter fraction of approximately 33.2%. For activity concentrations at or below the peak NECR, the maximum relative count rate error among all slices remained consistently below 3%. When assessed using the NEMA image quality phantom, overall image contrast recovery ranged from 63.2% to 88.4%, whereas background variability ranged from 4.2% to 1.1%. TOF resolution was 189 ps at 5.3 kBq/mL and was consistently lower than 200 ps for activity concentrations at or below the peak NECR. The patient studies demonstrated that scans at 2 min/bed produced images characterized by low noise and high contrast. Clear delineation of nuclei, spinal cords, and other substructures of the brain was observed in the brain PET images.

Conclusion:

uMI Panorama, the world's first commercial PET system with sub-200-ps TOF resolution, demonstrated fine spatial and fast TOF resolutions, robust count rate performance, and high quantification accuracy across a wide range of activity levels. This advanced technology offers enhanced diagnostic capability for detecting small and low-contrast lesions while showing promising potential under high-count-rate imaging scenarios.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article