论文标题
使用扩散模型在超高场上的联合概率分布从MRI中的脑宠物合成
Brain PET Synthesis from MRI Using Joint Probability Distribution of Diffusion Model at Ultrahigh Fields
论文作者
论文摘要
MRI和PET是重要的方式，可以提供互补的信息以诊断脑部疾病，因为MRI可以提供大脑和PET的结构信息，可以获得大脑的功能信息。但是，宠物通常缺少。特别是，在电流中无法实现在超高领域的同时宠物和MRI成像。因此，在超高场上使用MRI的合成宠物至关重要。在本文中，我们使用MRI作为扩散模型（JPDDM）的联合概率分布的指南合成PET。同时，我们在超高领域使用了模型。
MRI 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 at ultrahigh field is not achievable 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.
