Pith. sign in

REVIEW 1 cited by

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

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2211.08901 v2 pith:R44SJ3EJ submitted 2022-11-16 cs.MM

Taofeng Xie , Chentao Cao , Zhuoxu Cui , Fanshi Li , Zidong Wei , Yanjie Zhu , Ye Li , Dong Liang
show 3 more authors
Qiyu Jin Guoqing Chen Haifeng Wang
This is my paper · ORCID
classification cs.MM
keywords brainultrahighinformationmodeldiffusiondistributionfieldfields
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

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.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Double-Constraint Diffusion Model with Nuclear Regularization for Ultra-low-dose PET Reconstruction

    cs.CV 2025-08 conditional novelty 5.0 of 10

    A frozen diffusion PET model outfitted with a low-rank nuclear transformer and dose-specific encoding controllers reconstructs ultra-low-dose images and selects the right controller when the dose is unknown.

Pith tools