11–14 May 2026
Valencia Hotel Las Arenas
Europe/Zurich timezone

Development and Evaluation of a High-Performance DOI-Enabled Dedicated Brain PET/CT System

12 May 2026, 16:10
20m
Valencia Hotel Las Arenas

Valencia Hotel Las Arenas

C/ d'Eugènia Viñes, 22, 24, Poblados Marítimos, 46011 Valencia, Spain

Speaker

Mr Xin Yu

Description

Dedicated brain positron emission tomography (PET) systems have the potential to provide improved spatial resolution and sensitivity compared with conventional whole-body PET scanners. In this study, we developed and evaluated a depth-of-interaction (DOI)-enabled dedicated brain PET system designed for high-resolution brain imaging.

The detector modules employ LYSO crystal arrays (2.0 × 2.0 × 20.0 mm³) coupled to multi-pixel photon counter (MPPC) arrays. A light-sharing window (LSW) structure is implemented to estimate DOI and mitigate parallax errors. The system consists of ten detector panels with an axial field of view (AFOV) of 280.6 mm and a detector face-to-face diameter of 366.1 mm. System performance was evaluated according to the NEMA NU 2-2018 standard, including spatial resolution, sensitivity, and time-of-flight (TOF) resolution.

Experimental results show a mean spatial resolution of 2.25 mm. The measured total sensitivities are 16.12 cps/kBq at the center of the field of view and 16.75 cps/kBq at a radial offset of 10 cm. The coincidence timing resolution is 284 ps. The use of DOI encoding effectively compensates for parallax errors and helps maintain spatial resolution across the field of view. Preliminary brain imaging experiments further demonstrate that the proposed system can reveal fine anatomical structures in several brain regions.

These results indicate that the developed system provides high-resolution brain imaging capability with effective DOI-based parallax error compensation and good TOF timing performance, supporting its feasibility for dedicated high-resolution brain PET imaging.

Track FTMI
Presentation type Oral

Authors

Mr Xin Yu Da Liang Yuejie Lin Han Liu Huiping Zhao Jiayang Zeng Dawei Shi Haoyu Zou Jinyong Tao Wenbin Li Wenjing Zhu Yibin Zhang Ying Lin Wangquan Ma Ying Xu Wei Liu Zhaoheng Xie Qiushi Ren Dr Qiyu Peng

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