ArticleFrontiers in neuroscience2014
Feasibility of simultaneous whole-brain imaging on an integrated PET-MRI system using an enhanced 2-point Dixon attenuation correction method.
Article in Frontiers in neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Update on the Use of PET/MRI Contrast Agents and Tracers in Brain Oncology: A Systematic Review.International journal of nanomedicine · 2022Pooled it
- A review of PET attenuation correction methods for PET-MR.EJNMMI physics · 2023Review
- Concordance of regional hypoperfusion by pCASL MRI andNeuroImage. Clinical · 2022Article
- Attenuation correction for human PET/MRI studies.Physics in medicine and biology · 2020Article
- MR Image-Based Attenuation Correction of Brain PET Imaging: Review of Literature on Machine Learning Approaches for Segmentation.Journal of digital imaging · 2020Review
- MR-based PET attenuation correction using a combined ultrashort echo time/multi-echo Dixon acquisition.Medical physics · 2020Article
- Accurate hybrid template-based and MR-based attenuation correction using UTE images for simultaneous PET/MR brain imaging applications.BMC medical imaging · 2018Article
- Using simultaneous PET/MRI to compare the accuracy of diagnosing frontotemporal dementia by arterial spin labelling MRI and FDG-PET.NeuroImage. Clinical · 2018Article
- [AJNR. American journal of neuroradiology · 2017Article
- A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients.NeuroImage · 2017Article
- An Overview of Multimodal Neuroimaging Using Nanoprobes.International journal of molecular sciences · 2017Review
- MR Imaging-Guided Attenuation Correction of PET Data in PET/MR Imaging.PET clinics · 2016Review
- Role of Hybrid Brain Imaging in Neuropsychiatric Disorders.Diagnostics (Basel, Switzerland) · 2015Review
- Perfusion shift from white to gray matter may account for processing speed deficits in schizophrenia.Human brain mapping · 2015Article
- Impaired Cerebrovascular Function in Coronary Artery Disease Patients and Recovery Following Cardiac Rehabilitation.Frontiers in aging neuroscience · 2015Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo evaluate a potential approach for improved attenuation correction (AC) of PET in simultaneous PET and MRI brain imaging, a straightforward approach that adds bone information missing on Dixon AC was explored.
methodsBone information derived from individual T1-weighted MRI data using segmentation tools in SPM8, were added to the standard Dixon AC map. Percent relative difference between PET reconstructed with Dixon+bone and with Dixon AC maps were compared across brain regions of 13 oncology patients. The clinical potential of the improved Dixon AC was investigated by comparing relative perfusion (rCBF) measured with arterial spin labeling to relative glucose uptake (rPETdxbone) measured simultaneously with (18)F-flurodexoyglucose in several regions across the brain.
resultsA gradual increase in PET signal from center to the edge of the brain was observed in PET reconstructed with Dixon+bone. A 5-20% reduction in regional PET signals were observed in data corrected with standard Dixon AC maps. These regional underestimations of PET were either reduced or removed when Dixon+bone AC was applied. The mean relative correlation coefficient between rCBF and rPETdxbone was r = 0.53 (p < 0.001). Marked regional variations in rCBF-to-rPET correlation were observed, with the highest associations in the caudate and cingulate and the lowest in limbic structures. All findings were well matched to observations from previous studies conducted with PET data reconstructed with computed tomography derived AC maps.
conclusionAdding bone information derived from T1-weighted MRI to Dixon AC maps can improve underestimation of PET activity in hybrid PET-MRI neuroimaging.
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