Evidence map›Paper›PMID 34403742›Full record

ArticleNeuroImage2021

Decompose quantitative susceptibility mapping (QSM) to sub-voxel diamagnetic and paramagnetic components based on gradient-echo MRI data.

Jingjia Chen, Nan-Jie Gong, Khallil Taverna Chaim, Maria Concepción García Otaduy, Chunlei Liu

Abstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

67 citing papers in PubMed.

  1. Article
  2. One-Year Substantia NigraMovement disorders : official journal of the Movement Disorder Society · 2026
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  18. Review
  19. Vessel segmentation forMagnetic resonance in medicine · 2026
    Article
  20. Importance of RMagnetic resonance in medicine · 2026
    Article

7 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

5 authors.

Jingjia ChenDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA.
Nan-Jie GongDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA; Vector Lab for Intelligent Medical Imaging and Neural Engineering, International Innovation Center of Tsinghua University, Shanghai, China.
Khallil Taverna ChaimLIM44, Instituto e Departamento de Radiologia, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil.
Maria Concepción García OtaduyLIM44, Instituto e Departamento de Radiologia, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil.
Chunlei LiuDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA. Electronic address: chunlei.liu@berkeley.edu.

Funding

Clinical Features and Neuropathological Basis of Sleep Wake Behavior in Alzheimer's and PSPR01AG060477 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Lea Tenenholz Grinberg, Thomas C Neylan · 2019 to 2026
$8.2M
Imaging brain iron and protein aggregation with MRI for assessing Alzheimer's disease pathology and progressionR01AG070826 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI GRINBERG, LEA TENENHOLZ, LIU, CHUNLEI · 2021 to 2025
$3.3M
NIA NIH HHS R01 AG060477NIA NIH HHS R01 AG070826
6 · The paper itself

Abstract

purposeA method named DECOMPOSE-QSM is developed to decompose bulk susceptibility measured with QSM into sub-voxel paramagnetic and diamagnetic components based on a three-pool complex signal model.

methodsMulti-echo gradient echo signal is modeled as a summation of three weighted exponentials corresponding to three types of susceptibility sources: reference susceptibility, diamagnetic and paramagnetic susceptibility relative to the reference. Paramagnetic component susceptibility (PCS) and diamagnetic component susceptibility (DCS) maps are constructed to represent the sub-voxel compartments by solving for linear and nonlinear parameters in the model.

resultsNumerical forward simulation and phantom validation confirmed the ability of DECOMPOSE-QSM to separate the mixture of paramagnetic and diamagnetic components. The PCS obtained from temperature-variant brainstem imaging follows the Curie's Law, which further validated the model and the solver. Initial in vivo investigation of human brain images showed the ability to extract sub-voxel PCS and DCS sources that produce visually enhanced contrast between brain structures comparing to threshold QSM.

Indexed as

BrainComputer SimulationHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingNeuroimagingPhantoms, ImagingDecomposeDiamagneticGradient-recalled echoParamagneticQSMSub-voxelSusceptibility

Identifiers

PMID34403742
PMCPMC8720043

What OpenQuestion holds

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LicenceCC BY
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.