Evidence map›Paper›PMID 32597519›Full record

ArticleMagnetic resonance in medicine2020

High-sensitivity CEST mapping using a spatiotemporal correlation-enhanced method.

Lin Chen, Suyi Cao, Raymond C Koehler, Peter C M van Zijl, Jiadi Xu

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  11. Creatine mapping of the brain at 3T by CEST MRI.Magnetic resonance in medicine · 2024
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. The exchange rate of creatine CEST in mouse brain.Magnetic resonance in medicine · 2023
    Article
  17. Review
  18. Article
  19. Article
  20. Article
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.

Lin ChenF.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, Maryland, USA.ORCID 0000-0003-0108-4309
Suyi CaoDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Raymond C KoehlerDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Peter C M van ZijlF.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, Maryland, USA.
Jiadi XuF.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, Maryland, USA.

Funding

'T V ASSESSMENT - MEMORY DISORDERED PATIENTS'P50AG005146 · NIA · JOHNS HOPKINS UNIVERSITY · PI HUGANIR, RICHARD L · 1985 to 2019
$37.6M
TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
Development and Translation of D-glucose as a Diagnostic Agent for MRI of CancerR01EB019934 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2015 to 2019
$5.7M
Novel Approaches for CEST Labeling, Detection, Quantification and TranslationR01EB015032 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2011 to 2019
$3.9M
Huntington's Disease biomarkers and therapeuticsR01NS082338 · NINDS · JOHNS HOPKINS UNIVERSITY · PI DUAN, WENZHEN · 2013 to 2017
$2.0M
Advanced MRI biomarkers in HD mouse models translatable to humans: nature history and response to therapeuticsR56NS124084 · NINDS · JOHNS HOPKINS UNIVERSITY · PI DUAN, WENZHEN · 2021 to 2021
$522k
Imaging brain glucose uptake by onVDMP MRI in Huntington's DiseaseR21NS118079 · NINDS · JOHNS HOPKINS UNIVERSITY · PI DUAN, WENZHEN, XU, JIADI · 2020 to 2020
$465k
Impaired Cerebral Glucose Uptake in the Brain as an MRI Marker for Alzheimer' s DiseaseR21AG065794 · NIA · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI XU, JIADI · 2020 to 2020
$446k
Defining the Ischemic Penumbra by pH Mapping in Acute IschemiaR03NS109664 · NINDS · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI XU, JIADI · 2018 to 2019
$162k
NIA NIH HHS P50 AG005146NIA NIH HHS R21 AG065794NIBIB NIH HHS P41 EB015909NIBIB NIH HHS R01 EB015032NIBIB NIH HHS R01 EB019934NINDS NIH HHS R01 NS082338NINDS NIH HHS R03 NS109664NINDS NIH HHS R21 NS118079NINDS NIH HHS R56 NS124084
6 · The paper itself

Abstract

purposeTo obtain high-sensitivity CEST maps by exploiting the spatiotemporal correlation between CEST images.

methodsA postprocessing method accomplished by multilinear singular value decomposition (MLSVD) was used to enhance the CEST SNR by exploiting the correlation between the Z-spectrum for each voxel and the low-rank property of the overall CEST data. The performance of this method was evaluated using CrCEST in ischemic mouse brain at 11.7 tesla. Then, MLSVD CEST was applied to obtain Cr, amide, and amine CEST maps of the ischemic mouse brain to demonstrate its general applications.

resultsComplex-valued Gaussian noise was added to CEST k-space data to mimic a low SNR situation. MLSVD CEST analysis was able to suppress the noise, recover the degraded CEST peak, and provide better CrCEST quality compared to the smoothing and singular value decomposition (SVD)-based denoising methods. High-resolution Cr, amide, and amine CEST maps of an ischemic stroke using MLSVD CEST suggest that CrCEST is also a sensitive pH mapping method, and a wide range of pH changes can be detected by combing CrCEST with amine CEST at high magnetic fields.

conclusionMLSVD CEST provides a simple and efficient way to improve the SNR of CEST images.

Indexed as

AmidesMagnetic Resonance ImagingAnimalsMiceAmidesamideaminechemical exchange saturation transfer (CEST)creatine (Cr)ischemic strokemultilinear singular value decomposition (MLSVD)pH mappingpolynomial and Lorentzian line-shape fitting (PLOF)singular value decomposition (SVD)

Identifiers

PMID32597519
PMCPMC7722217

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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.