Article in NMR in biomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
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.
2 · The registry
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.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
6 authors.
Hector L De MouraCenter for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0002-6620-9814
Anmol MongaCenter for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.
Xiaoxia ZhangCenter for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.
Marcelo V W ZibettiCenter for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.
Mahesh B KeerthivasanSiemens Medical Solutions USA Inc, Malvern, Pennsylvania, USA.
Ravinder R RegatteCenter for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.
Funding
TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Daniel K Sodickson · 2014 to 2026
$19.3M
Multiparametric Mapping of Knee Joint with Magnetic Resonance FingerprintingR01AR076985 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI REGATTE, RAVINDER · 2021 to 2025
$3.1M
Rapid Quantitative Assessment of Knee Joint with Compressed SensingR01AR076328 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI REGATTE, RAVINDER · 2020 to 2024
$3.0M
Data-Driven Learning Framework for Fast Quantitative Knee Joint MappingR01AR078308 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Ravinder Regatte, Marcelo Victor Wust Zibetti · 2021 to 2026
$2.6M
National Institute of Health R01-AR076328-01A1National Institute of Health R01-AR076985-01A1National Institute of Health R01-AR078308-01A1NIAMS NIH HHS R01 AR076328NIAMS NIH HHS R01 AR076985NIAMS NIH HHS R01 AR078308NIBIB NIH HHS P41 EB017183
6 · The paper itself
Abstract
Low-field strength scanners present an opportunity for more inclusive imaging exams and bring several challenges including lower signal-to-noise ratio (SNR) and longer scan times. Magnetic resonance fingerprinting (MRF) is a rapid quantitative multiparametric method that can enable multiple quantitative maps simultaneously. To demonstrate the feasibility of an MRF sequence for knee cartilage evaluation in a 0.55T system we performed repeatability and accuracy experiments with agar-gel phantoms. Additionally, five healthy volunteers (age 32 ± 4 years old, 2 females) were scanned at 3T and 0.55T. The MRI acquisition protocols include a stack-of-stars T
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.
Feasibility of 3D MRI fingerprinting for rapid knee cartilage T · full record | OpenQuestion