ArticleEJNMMI physics2018
Evaluation of zero-echo-time attenuation correction for integrated PET/MR brain imaging-comparison to head atlas and
Article in EJNMMI physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06988007 (Bone Arches), which is not on this map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Bone Arches: Performance of Pseudo-scanner Sequences in Segmenting the Extent of the Tumour and in Planning Surgical Resection Using the CT Scan as a Reference
Who cites it
17 citing papers in PubMed.
- The relationship between glutamate, dopamine, and cortical gray matter: A simultaneous PET-MR study.Molecular psychiatry · 2022Trial
- Plasma proteomic signatures of preclinical Alzheimer's disease in clinically unimpaired older adults.Molecular neurodegeneration · 2026Article
- Evaluation of regularization factor and attenuation correction method of Q.Clear reconstruction for brain PET/MR in epileptic patients.EJNMMI physics · 2026Article
- Florbetaben amyloid PET acquisition time: Influence on Centiloids and interpretation.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Evaluation of [EJNMMI research · 2024Article
- A review of PET attenuation correction methods for PET-MR.EJNMMI physics · 2023Review
- Tau PET imaging withEuropean journal of nuclear medicine and molecular imaging · 2021Article
- Evaluation of Arterial Spin Labeling MRI-Comparison withDiagnostics (Basel, Switzerland) · 2021Article
- MR-based Attenuation Correction for Brain PET Using 3D Cycle-Consistent Adversarial Network.IEEE transactions on radiation and plasma medical sciences · 2021Article
- Cross-validation study between the HRRT and the PET component of the SIGNA PET/MRI system with focus on neuroimaging.EJNMMI physics · 2021Article
- Accuracy and precision of zero-echo-time, single- and multi-atlas attenuation correction for dynamic [EJNMMI physics · 2020Article
- Attenuation correction for human PET/MRI studies.Physics in medicine and biology · 2020Article
- Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation.An international journal on information fusion · 2020Article
- Validation of PET/MRI attenuation correction methodology in the study of brain tumours.BMC medical imaging · 2020Article
- ZTE MR-based attenuation correction in brain FDG-PET/MR: performance in patients with cognitive impairment.European radiology · 2020Article
- Simultaneous emission and attenuation reconstruction in time-of-flight PET using a reference object.EJNMMI physics · 2020Article
- Zero Echo Time MRAC on FDG-PET/MR Maintains Diagnostic Accuracy for Alzheimer's Disease; A Simulation Study Combining ADNI-Data.Frontiers in neuroscience · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMRI does not offer a direct method to obtain attenuation correction maps as its predecessors (stand-alone PET and PET/CT), and bone visualisation is particularly challenging. Recently, zero-echo-time (ZTE) was suggested for MR-based attenuation correction (AC). The aim of this work was to evaluate ZTE- and atlas-AC by comparison to
resultsBoth ZTE- and atlas-AC showed a similar bias of 6-8% in SUV values across the regions. Correlation coefficients with
conclusionsAbsolute SUV values showed less variability for ZTE-AC than for atlas-AC when compared to
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.