ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2018
An Efficient Approach to Perform MR-assisted PET Data Optimization in Simultaneous PET/MR Neuroimaging Studies.
Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 25 citations in OpenAlex.
- Critical review of partial volume correction methods in PET and SPECT imaging: benefits, pitfalls, challenges, and future outlook.European journal of nuclear medicine and molecular imaging · 2026Review
- Paired PET-MRI Deep Learning Model for Translating [Medical physics · 2025Article
- ParaPET: non-invasive deep learning method for direct parametric brain PET reconstruction using histoimages.EJNMMI research · 2024Article
- Investigating Simultaneity for Deep Learning-Enhanced Actual Ultra-Low-Dose Amyloid PET/MR Imaging.AJNR. American journal of neuroradiology · 2022Article
- Advances in cardiac PET/MR imaging: Facilitating cutting-edge structural and biological phenotyping of the cardiovascular system.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021Article
- MR-PET head motion correction based on co-registration of multicontrast MR images.Human brain mapping · 2021Article
- Attenuation correction for human PET/MRI studies.Physics in medicine and biology · 2020Article
- Development of Dedicated Brain PET Imaging Devices: Recent Advances and Future Perspectives.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019Review
- Article
- MRI-Driven PET Image Optimization for Neurological Applications.Frontiers in neuroscience · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A main advantage of PET is that it provides quantitative measures of the radiotracer concentration, but its accuracy is confounded by several factors, including attenuation, subject motion, and limited spatial resolution. Using the information from one simultaneously acquired morphological MR sequence with embedded navigators, we propose an efficient method called MR-assisted PET data optimization (MaPET) to perform attenuation correction (AC), motion correction, and anatomy-aided reconstruction.
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What OpenQuestion holds
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.