ArticleMedical physics2020
MR-based PET attenuation correction using a combined ultrashort echo time/multi-echo Dixon acquisition.
Article in Medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- A two-stage PET/MRI attenuation-correction workflow for pseudo-CT and AC PET synthesis with GUI-based inference.Medical & biological engineering & computing · 2026Article
- Respiratory motion-corrected quiescent period gating magnetic resonance attenuation correction (Q.MRAC) for enhancing quantitative accuracy in hepatic [18F]FDG PET/MRI: a dual-domain motion compensation study.Quantitative imaging in medicine and surgery · 2026Article
- Improving the Quality of Brain PET Images Using MR-Guided PET Reconstruction Technique With Integrated PET/MR.Human brain mapping · 2025Article
- Arterial spin labeled perfusion imaging with balanced steady-state free precession readout and radial sampling.Magnetic resonance imaging · 2023Article
- A review of PET attenuation correction methods for PET-MR.EJNMMI physics · 2023Review
- Attenuation Coefficient Estimation for PET/MRI With Bayesian Deep Learning Pseudo-CT and Maximum-Likelihood Estimation of Activity and Attenuation.IEEE transactions on radiation and plasma medical sciences · 2022Article
- Multimodal phantoms for clinical PET/MRI.EJNMMI physics · 2021Review
- MR-based Attenuation Correction for Brain PET Using 3D Cycle-Consistent Adversarial Network.IEEE transactions on radiation and plasma medical sciences · 2021Article
- Synthetic CT Generation of the Pelvis in Patients With Cervical Cancer: A Single Input Approach Using Generative Adversarial Network.IEEE access : practical innovations, open solutions · 2021Article
- Attenuation correction for human PET/MRI studies.Physics in medicine and biology · 2020Article
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Authors and funding
10 authors.
Funding
Abstract
purposeTo develop a magnetic resonance (MR)-based method for estimation of continuous linear attenuation coefficients (LACs) in positron emission tomography (PET) using a physical compartmental model and ultrashort echo time (UTE)/multi-echo Dixon (mUTE) acquisitions.
methodsWe propose a three-dimensional (3D) mUTE sequence to acquire signals from water, fat, and short T
resultsThe performance of the proposed method was evaluated via phantom and in vivo human studies, using LACs from computed tomography (CT) as reference. Compared to Dixon- and atlas-based MRAC methods, the proposed method yielded PET images with higher correlation and similarity in relation to the reference. The relative absolute errors of PET activity values reconstructed by the proposed method were below 5% in all of the four lobes (frontal, temporal, parietal, and occipital), cerebellum, whole white matter, and gray matter regions across all subjects (n = 6).
conclusionsThe proposed mUTE method can generate subject-specific, continuous LAC map for PET attenuation correction in PET/MR.
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