Abstract #1192

Brain PET Synthesis from MRI Using Joint Probability Distribution of Diffusion Model at Ultrahigh Fields

Xie Taofeng^1,2, Cao Chentao³, Cui Zhuoxu³, Li Fanshi³, Wei Zidong³, Zhu Yanjie³, Li Ye³, Liang Dong^3,4, Jin Qiyu¹, Chen Guoqing¹, and Wang Haifeng³

¹Inner Mongolia University, Hohhot, China, ²Inner Mongolia Medical University, Hohhot, China, ³Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences, shenzhen, China, ⁴Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), shenzhen, China

Synopsis

Keywords: Nerves, Multimodal, Ultrahigh Field, Artificial Intelligence, MultimodalMRI and PET are important modalities and can provide complementary information for the diagnosis of brain diseases because MRI can provide structural information of brain and PET can obtain functional information of brain. However, PET is usually missing. Especially, simultaneous PET and MRI imaging is not achievable at ultrahigh field in the current. Thus, synthetic PET using MRI at ultrahigh field is essential. In this paper, we synthetic PET using MRI as a guide by joint probability distribution of diffusion model (JPDDM). Meanwhile, We utilized our model in ultrahigh fields.

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