Evidence map›Paper›PMID 30125389›Full record

ArticleMagnetic resonance in medicine2019

SNR-weighted regularization of ADC estimates from double-echo in steady-state (DESS).

Bragi Sveinsson, Garry E Gold, Brian A Hargreaves, Daehyun Yoon

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Correction of BNMR in biomedicine · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Rapid Knee MRI Acquisition and Analysis Techniques for Imaging Osteoarthritis.Journal of magnetic resonance imaging : JMRI · 2020
    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

4 authors.

Bragi SveinssonA.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.
Garry E GoldDepartment of Radiology, Stanford University, Stanford, California.
Brian A HargreavesDepartment of Radiology, Stanford University, Stanford, California.
Daehyun YoonDepartment of Radiology, Stanford University, Stanford, California.

Funding

Training and DisseminationP41EB015891 · NIBIB · STANFORD UNIVERSITY · PI GLOVER, GARY H · 2012 to 2019
$10.7M
Rapid MRI for Evaluation of OsteoarthritisR01EB002524 · NIBIB · STANFORD UNIVERSITY · PI Akshay Chaudhari, Garry E Gold · 2003 to 2026
$10.1M
Rapid Low-Cost Quantitative 3D MRI and Gait Assessment of the KneeR01AR077604 · NIAMS · STANFORD UNIVERSITY · PI HARGREAVES, BRIAN ANDREW · 2020 to 2024
$3.2M
Quantitative 3D Diffusion and Relaxometry MRI of the KneeR01AR063643 · NIAMS · STANFORD UNIVERSITY · PI HARGREAVES, BRIAN ANDREW · 2013 to 2017
$2.5M
Advanced MR Imaging of Early OsteoarthritisK24AR062068 · NIAMS · STANFORD UNIVERSITY · PI GOLD, GARRY E · 2012 to 2022
$1.7M
NIAMS NIH HHS K24 AR062068NIAMS NIH HHS R01 AR063643NIAMS NIH HHS R01 AR077604NIBIB NIH HHS P41 EB015891NIBIB NIH HHS R01 EB002524NIH HHS P41EB015891NIH HHS R01AR063643NIH HHS R01EB002524
6 · The paper itself

Abstract

purposeTo improve the homogeneity and consistency of apparent diffusion coefficient (ADC) estimates in cartilage from the double-echo in steady-state (DESS) sequence by applying SNR-weighted regularization during post-processing.

methodsAn estimation method that linearizes ADC estimates from DESS is used in conjunction with a smoothness constraint to suppress noise-induced variation in ADC estimates. Simulations, phantom scans, and in vivo scans are used to demonstrate how the method reduces ADC variability. Conventional diffusion-weighted echo-planar imaging (DW EPI) maps are acquired for comparison of mean and standard deviation (SD) of the ADC estimate.

resultsSimulations and phantom scans demonstrated that the SNR-weighted regularization can produce homogenous ADC maps at varying levels of SNR, whereas non-regularized maps only estimate ADC accurately at high SNR levels. The in vivo maps showed that the SNR-weighted regularization produced ADC maps with similar heterogeneity to maps produced with standard DW EPI, but without the distortion of such reference scans.

conclusionA linear approximation of a simplified model of the relationship between DESS signals allows for fast SNR-weighted regularization of ADC maps that reduces estimation error in relatively short T

Indexed as

Diffusion Magnetic Resonance ImagingEcho-Planar ImagingSignal-To-Noise RatioAlgorithmsCartilageComputer SimulationFemurHealthy VolunteersHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMonte Carlo MethodOsteoarthritisPhantoms, ImagingReproducibility of ResultscartilageDESSdiffusionosteoarthritissteady-state

Identifiers

PMID30125389
PMCPMC6258287

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Registered trials

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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.