Evidence map›Paper›PMID 26503305›Full record

ArticleNMR in biomedicine2015

Spectral fitting using basis set modified by measured B0 field distribution.

Ningzhi Li, Li An, Jun Shen

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Monte Carlo study of metabolite correlations originating from spectral overlap.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. High FieldFrontiers in physics · 2017
    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

3 authors.

Ningzhi LiMolecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Li AnMolecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Jun ShenMolecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.

Funding

Magnetic Resonance Spectroscopy and Imaging Studies of Brain FunctionsZIAMH002803 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI SHEN, JUN · 2009 to 2025
$24.9M
Intramural NIH HHS Z99 MH999999Intramural NIH HHS ZIA MH002803
6 · The paper itself

Abstract

This study sought to demonstrate and evaluate a novel spectral fitting method to improve quantification accuracy in the presence of large magnetic field distortion, especially with high fields. MRS experiments were performed using a point-resolved spectroscopy (PRESS)-type sequence at 7 T. A double-echo gradient echo (GRE) sequence was used to acquire B0 maps following MRS experiments. The basis set was modified based on the measured B0 distribution within the MRS voxel. Quantification results were obtained after fitting the measured MRS data using the modified basis set. The proposed method was validated using numerical Monte Carlo simulations, phantom measurements, and comparison of occipital lobe MRS measurements under homogeneous and inhomogeneous magnetic field conditions. In vivo results acquired from voxels placed in thalamus and prefrontal cortex regions close to the frontal sinus agreed well with published values. Instead of noise-amplifying complex division, the proposed method treats field variations as part of the signal model, thereby avoiding inherent statistical bias associated with regularization. Simulations and experiments showed that the proposed approach reliably quantified results in the presence of relatively large magnetic field distortion. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.

Indexed as

AlgorithmsArtifactsAdultBrainFemaleHumansMagnetic FieldsMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMalePattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificityYoung Adultdeep brain gray matterfield mapmetabolite quantificationnon-linear fittingprefrontal lobe

Identifiers

PMID26503305
PMCPMC4715526

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.