Realization of high-end PET devices that assist conventional PET devices in improving image quality via diffusion modeling

A diffusion model based on null-space constraints is a flexible framework that can effectively utilize the prior information provided by high-end scanners to improve the image quality of conventional scanners in cross-center and cross-device scenarios.

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Publication Details

Journal
EJNMMI Physics
Published
2024-12-18
DOI
https://doi.org/10.1186/s40658-024-00706-3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00

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article

Realization of high-end PET devices that assist conventional PET devices in improving image quality via diffusion modeling

Hairong Zheng, Zhanli Hu, Qiyang Zhang, Wei Fan et al.
EJNMMI Physics
Radiomics and Machine Learning in Medical Imaging
article

Realization of high-end PET devices that assist conventional PET devices in improving image quality via diffusion modeling

Hairong Zheng, Zhanli Hu, Qiyang Zhang, Wei Fan, Xu Zhang, Liang Dong, Chao Zhou
article en

Abstract

A diffusion model based on null-space constraints is a flexible framework that can effectively utilize the prior information provided by high-end scanners to improve the image quality of conventional scanners in cross-center and cross-device scenarios.

EJNMMI PhysicsVol. 11(1)
Sun Yat-sen University (CN), Chinese Academy of Sciences (CN), Shenzhen Institutes of Advanced Technology (CN), Sun Yat-sen University Cancer Center (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province
Industry, innovation and infrastructure
Openalex Percentile: Top 60%
Radiomics and Machine Learning in Medical Imaging
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