Evidence map›Paper›PMID 33063400›Full record

ReviewNMR in biomedicine2022

Rapid MR relaxometry using deep learning: An overview of current techniques and emerging trends.

Li Feng, Dan Ma, Fang Liu

Abstract readReview
In one paragraph

Review in NMR in biomedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. DeepEMC-TMagnetic resonance in medicine · 2024
    Article
  8. Physics Informed Neural Networks for Estimation of Tissue Properties from Multi-echo Configuration State MRI.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Rapid 3D TMagnetic resonance in medicine · 2023
    Article
  17. Review
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

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

3 authors.

Li FengBiomedical Engineering and Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York.
Dan MaDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.
Fang LiuDepartment of Radiology, Massachusetts General Hospital, Harvard University, Boston, Massachusetts.ORCID 0000-0001-8032-6681

Funding

Unified Joint Statistical Reconstruction of PET & MRP41EB022544 · NIBIB · YALE UNIVERSITY · PI Georges El Fakhri · 2017 to 2026
$14.8M
Quantitative Oncologic PET-MRR01CA165221 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI EL FAKHRI, GEORGES · 2012 to 2023
$4.7M
MR Fingerprinting for EpilepsyR01NS109439 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI Dan Ma, Zhong Irene Wang · 2019 to 2026
$4.2M
Deep Learning Technology for Rapid Morphological and Quantitative Imaging of Knee PathologyR01AR079442 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI Fang Liu · 2022 to 2026
$2.2M
Rapid Three-dimensional Simultaneous Knee Multi-Relaxation MappingR01AR081344 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI Fang Liu · 2022 to 2026
$2.0M
Rapid Motion-Robust and Easy-to-Use Dynamic Contrast-Enhanced MRI for Liver Perfusion QuantificationR01EB030549 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FENG, LI · 2021 to 2024
$1.7M
Deep Learning Reconstruction for Rapid Multi-Component RelaxometryR21EB031185 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI LIU, FANG · 2022 to 2024
$690k
A Framework to Design 3D Quantitative Magnetic Resonance Fingerprinting (MRF) Scans and Reduce Patient AnxietyR21EB026764 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI MA, DAN · 2018 to 2020
$641k
NCI NIH HHS R01 CA165221NIAMS NIH HHS R01 AR079442NIAMS NIH HHS R01 AR081344NIBIB NIH HHS P41 EB022544NIBIB NIH HHS R01 EB030549NIBIB NIH HHS R21 EB026764NIBIB NIH HHS R21 EB031185NINDS NIH HHS R01 NS109439
6 · The paper itself

Abstract

Quantitative mapping of MR tissue parameters such as the spin-lattice relaxation time (T

Indexed as

Deep LearningImage Processing, Computer-AssistedMagnetic Resonance Imagingartificial intelligencedeep learningimage reconstructionMR relaxometryparameter mappingquantitative MRI

Identifiers

PMID33063400
PMCPMC8046845

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.