Evidence map›Paper›PMID 26313885›Full record

ArticleNMR in biomedicine2015

Streaking artifact reduction for quantitative susceptibility mapping of sources with large dynamic range.

Hongjiang Wei, Russell Dibb, Yan Zhou, Yawen Sun, Jianrong Xu, Nian Wang, Chunlei Liu

Abstract read
In one paragraph

Article in NMR in biomedicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 1 pooled it
–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

149 citing papers in PubMed, 1 synthesis or guideline pooled it.

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89 more citing papers are in PubMed but not listed here.

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

7 authors.

Hongjiang WeiBrain Imaging and Analysis Center, Duke University, Durham, NC, USA.
Russell DibbCenter for In Vivo Microscopy, Duke University, Durham, NC, USA.
Yan ZhouDepartment of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Yawen SunDepartment of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Jianrong XuDepartment of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Nian WangBrain Imaging and Analysis Center, Duke University, Durham, NC, USA.
Chunlei LiuBrain Imaging and Analysis Center, Duke University, Durham, NC, USA.

Funding

INTEGRATED CENTER FOR IN VIVO MICROSCOPYP41EB015897 · NIBIB · DUKE UNIVERSITY · PI JOHNSON, GEORGE ALLAN · 2012 to 2017
$7.4M
Training in Medical ImagingT32EB001040 · NIBIB · DUKE UNIVERSITY · PI NIGHTINGALE, KATHRYN RADABAUGH · 2003 to 2018
$4.4M
Ultra-Resolution Imaging of Brain Circuitry and its Development in Mental HealthR01MH096979 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI LIU, CHUNLEI · 2013 to 2017
$1.8M
MRI Corticography (MRCoG): Micro-scale Human Cortical ImagingR24MH106096 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI FEINBERG, DAVID ALAN, LIU, CHUNLEI · 2014 to 2016
$1.4M
Agilent Direct Drive 9.4T MRS/MRI ConsoleS10OD010683 · OD · DUKE UNIVERSITY · PI JOHNSON, GEORGE ALLAN · 2012 to 2012
$597k
Susceptibility MRI as a marker for diagnosis and clinical disability in MSR01NS079653 · NINDS · DUKE UNIVERSITY · PI LIU, CHUNLEI · 2014 to 2015
$460k
High-resolution in vivo and non-invasive imaging of myocardial fibersR21HL122759 · NHLBI · UNIVERSITY OF CALIFORNIA BERKELEY · PI LIU, CHUNLEI · 2014 to 2015
$431k
NHLBI NIH HHS R21 HL122759NHLBI NIH HHS R21HL122759NIBIB NIH HHS P41 EB015897NIBIB NIH HHS P41EB015897NIBIB NIH HHS T32 EB001040NIBIB NIH HHS T32EB001040NIH HHS S10 OD010683NIMH NIH HHS R01 MH096979NIMH NIH HHS R01MH096979NIMH NIH HHS R24 MH106096NIMH NIH HHS R24MH106096NINDS NIH HHS R01 NS079653NINDS NIH HHS R01NS079653
6 · The paper itself

Abstract

Quantitative susceptibility mapping (QSM) is a novel MRI technique for the measurement of tissue magnetic susceptibility in three dimensions. Although numerous algorithms have been developed to solve this ill-posed inverse problem, the estimation of susceptibility maps with a wide range of values is still problematic. In cases such as large veins, contrast agent uptake and intracranial hemorrhages, extreme susceptibility values in focal areas cause severe streaking artifacts. To enable the reduction of these artifacts, whilst preserving subtle susceptibility contrast, a two-level QSM reconstruction algorithm (streaking artifact reduction for QSM, STAR-QSM) was developed in this study by tuning a regularization parameter to automatically reconstruct both large and small susceptibility values. Compared with current state-of-the-art QSM methods, such as the improved sparse linear equation and least-squares (iLSQR) algorithm, STAR-QSM significantly reduced the streaking artifacts, whilst preserving the sharp boundaries for blood vessels of mouse brains in vivo and fine anatomical details of high-resolution mouse brains ex vivo. Brain image data from patients with cerebral hematoma and multiple sclerosis further illustrated the superiority of this method in reducing streaking artifacts caused by large susceptibility sources, whilst maintaining sharp anatomical details. STAR-QSM is implemented in STI Suite, a comprehensive shareware for susceptibility imaging and quantification.

Indexed as

ArtifactsAlgorithmsAnimalsBrainCerebral HemorrhageHematomaHumansImage EnhancementMagnetic Resonance ImagingMiceMultiple SclerosisOrgan SpecificityPhantoms, ImagingSoftwarecerebral hematomamultiple sclerosisquantitative susceptibility mappingstreaking artifact reduction

Identifiers

PMID26313885
PMCPMC4572914

What OpenQuestion holds

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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.