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Performance Characteristics of the NeuroEXPLORER, a Next-Generation Human Brain PET/CT Imager.
Li, Hongdi; Badawi, Ramsey D; Cherry, Simon R; Fontaine, Kathryn; He, Liuchun; Henry, Shannan; Hillmer, Ansel T; Hu, Lingzhi; Khattar, Nikkita; Leung, Edwin K; Li, Tiantian; Li, Yusheng; Liu, Chi; Liu, Peng; Lu, Zhenrui; Majewski, Stanislaw; Matuskey, David; Morris, Evan D; Mulnix, Tim; Omidvari, Negar; Samanta, Suranjana; Selfridge, Aaron; Sun, Xishan; Toyonaga, Takuya; Volpi, Tommaso; Zeng, Tianyi; Jones, Terry; Qi, Jinyi; Carson, Richard E.
Afiliación
  • Li H; United Imaging Healthcare North America, Houston, Texas.
  • Badawi RD; University of California, Davis, Davis, California.
  • Cherry SR; University of California, Davis, Davis, California.
  • Fontaine K; Yale University, New Haven, Connecticut; and.
  • He L; United Imaging Healthcare, Shanghai, China.
  • Henry S; Yale University, New Haven, Connecticut; and.
  • Hillmer AT; Yale University, New Haven, Connecticut; and.
  • Hu L; United Imaging Healthcare North America, Houston, Texas.
  • Khattar N; Yale University, New Haven, Connecticut; and.
  • Leung EK; United Imaging Healthcare North America, Houston, Texas.
  • Li T; University of California, Davis, Davis, California.
  • Li Y; United Imaging Healthcare North America, Houston, Texas.
  • Liu C; University of California, Davis, Davis, California.
  • Liu P; United Imaging Healthcare North America, Houston, Texas.
  • Lu Z; Yale University, New Haven, Connecticut; and.
  • Majewski S; United Imaging Healthcare, Shanghai, China.
  • Matuskey D; United Imaging Healthcare, Shanghai, China.
  • Morris ED; University of California, Davis, Davis, California.
  • Mulnix T; Yale University, New Haven, Connecticut; and.
  • Omidvari N; Yale University, New Haven, Connecticut; and.
  • Samanta S; Yale University, New Haven, Connecticut; and.
  • Selfridge A; University of California, Davis, Davis, California.
  • Sun X; United Imaging Healthcare North America, Houston, Texas.
  • Toyonaga T; United Imaging Healthcare North America, Houston, Texas.
  • Volpi T; University of California, Davis, Davis, California.
  • Zeng T; United Imaging Healthcare North America, Houston, Texas.
  • Jones T; Yale University, New Haven, Connecticut; and.
  • Qi J; Yale University, New Haven, Connecticut; and.
  • Carson RE; Yale University, New Haven, Connecticut; and.
J Nucl Med ; 65(8): 1320-1326, 2024 Aug 01.
Article en En | MEDLINE | ID: mdl-38871391
ABSTRACT
The collaboration of Yale, the University of California, Davis, and United Imaging Healthcare has successfully developed the NeuroEXPLORER, a dedicated human brain PET imager with high spatial resolution, high sensitivity, and a built-in 3-dimensional camera for markerless continuous motion tracking. It has high depth-of-interaction and time-of-flight resolutions, along with a 52.4-cm transverse field of view (FOV) and an extended axial FOV (49.5 cm) to enhance sensitivity. Here, we present the physical characterization, performance evaluation, and first human images of the NeuroEXPLORER.

Methods:

Measurements of spatial resolution, sensitivity, count rate performance, energy and timing resolution, and image quality were performed adhering to the National Electrical Manufacturers Association (NEMA) NU 2-2018 standard. The system's performance was demonstrated through imaging studies of the Hoffman 3-dimensional brain phantom and the mini-Derenzo phantom. Initial 18F-FDG images from a healthy volunteer are presented.

Results:

With filtered backprojection reconstruction, the radial and tangential spatial resolutions (full width at half maximum) averaged 1.64, 2.06, and 2.51 mm, with axial resolutions of 2.73, 2.89, and 2.93 mm for radial offsets of 1, 10, and 20 cm, respectively. The average time-of-flight resolution was 236 ps, and the energy resolution was 10.5%. NEMA sensitivities were 46.0 and 47.6 kcps/MBq at the center and 10-cm offset, respectively. A sensitivity of 11.8% was achieved at the FOV center. The peak noise-equivalent count rate was 1.31 Mcps at 58.0 kBq/mL, and the scatter fraction at 5.3 kBq/mL was 36.5%. The maximum count rate error at the peak noise-equivalent count rate was less than 5%. At 3 iterations, the NEMA image-quality contrast recovery coefficients varied from 74.5% (10-mm sphere) to 92.6% (37-mm sphere), and background variability ranged from 3.1% to 1.4% at a contrast of 4.01. An example human brain 18F-FDG image exhibited very high resolution, capturing intricate details in the cortex and subcortical structures.

Conclusion:

The NeuroEXPLORER offers high sensitivity and high spatial resolution. With its long axial length, it also enables high-quality spinal cord imaging and image-derived input functions from the carotid arteries. These performance enhancements will substantially broaden the range of human brain PET paradigms, protocols, and thereby clinical research applications.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Fantasmas de Imagen / Tomografía Computarizada por Tomografía de Emisión de Positrones Límite: Humans Idioma: En Revista: J Nucl Med Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Fantasmas de Imagen / Tomografía Computarizada por Tomografía de Emisión de Positrones Límite: Humans Idioma: En Revista: J Nucl Med Año: 2024 Tipo del documento: Article