Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing 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
15 authors.
Xiaozhi CaoDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID 0000-0001-5095-648X
Congyu LiaoDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID 0000-0003-2270-276X
Zheren ZhuDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.ORCID 0000-0002-8378-5063
Zhitao LiDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID 0000-0003-3462-6549
Rupsa BhattacharjeeDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.ORCID 0000-0001-9893-3527
Mark NishmuraDepartment of Electrical Engineering, Stanford University, Stanford, California, USA.
Zhixing WangDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0002-8189-0601
Nan WangDepartment of Radiology, Stanford University, Stanford, California, USA.
Zihan ZhouDepartment of Radiology, Stanford University, Stanford, California, USA.
Quan ChenDepartment of Radiology, Stanford University, Stanford, California, USA.
Daniel AbrahamDepartment of Radiology, Stanford University, Stanford, California, USA.
Sharmila MajumdarDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.ORCID 0000-0002-0201-871X
Javier Villanueva-MeyerDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Yang YangDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.ORCID 0000-0002-2841-4243
Kawin SetsompopDepartment of Radiology, Stanford University, Stanford, California, USA.
Funding
CONNECTOME 2.0: DEVELOPING THE NEXT GENERATION HUMAN MRI SCANNER FOR BRIDGING STUDIES OF THE MICRO-, MESO- AND MACRO-CONNECTOMEU01EB026996 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BASSER, PETER J., HUANG, SUSIE YI · 2018 to 2022
$14.2M
MRI CORTICOGRAPHY: DEVELOPING NEXT GENERATION MICROSCALE HUMAN CORTEX MRI SCANNERU01EB025162 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI FEINBERG, DAVID ALAN, LIU, CHUNLEI · 2017 to 2021
$13.4M
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang, BRUCE R ROSEN · 2020 to 2026
$10.9M
Next generation in-vivo diffusion imaging at submillimeter resolutionR01MH116173 · NIMH · STANFORD UNIVERSITY · PI Yogesh Rathi, Kawin Setsompop · 2018 to 2026
$6.2M
fMRI Technologies for Imaging at the Limit of Biological Spatiotemporal Resolution: Administrative SupplementR01EB019437 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI POLIMENI, JONATHAN RIZZO, SETSOMPOP, KAWIN · 2015 to 2024
$5.5M
Three-Dimensional Patient-Tailored RF Pulses for Spin Echo Neuroimaging at 7 TR01EB016695 · NIBIB · VANDERBILT UNIVERSITY · PI GRISSOM, WILLIAM A · 2014 to 2021
$3.8M
MRI technology for restoring brain image quality for pediatric patients with metallic orthodontic hardwareR01EB028797 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Berkin Bilgic, Jason P Stockmann · 2020 to 2026
$3.0M
Rapid MRI acquisition for pediatric low-grade gliomasR01EB020613 · NIBIB · STANFORD UNIVERSITY · PI SETSOMPOP, KAWIN · 2016 to 2019
$2.5M
Robust and precise imaging of infant brain development with magneticresonance imagingR01HD114719 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Congyu Liao · 2024 to 2026
$1.6M
Rapid Fetal HASTE MR ImagingR03EB031175 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BILGIC, BERKIN · 2021 to 2022
purposeTo provide a fast quantitative imaging approach for a 0.55T scanner, where signal-to-noise ratio is limited by the field strength and k-space sampling speed is limited by a lower specification gradient system.
methodsWe adapted the three-dimensional spiral projection imaging MR fingerprinting approach to 0.55T scanners, with additional features incorporated to improve the image quality of quantitative brain and musculoskeletal imaging, including (i) improved k-space sampling efficiency, (ii) Cramér-Rao lower bound optimized flip-angle pattern for specified T
resultsThe proposed MRF acquisition and reconstruction framework can provide high-quality 1.2-mm isotropic whole-brain quantitative maps and 1-mm isotropic knee quantitative maps, each acquired in 4.5 min. The proposed method was validated in both phantom and in vivo brain and knee studies.
conclusionBy proposing novel methods and integrating advanced techniques, we achieved high-isotropic-resolution MRF on a 0.55T scanner, demonstrating enhanced efficiency, motion resilience, and quantitative accuracy.
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.
Three-dimensional high-isotropic-resolution MR fingerprinting optimized for 0.55 T. · full record | OpenQuestion