Evidence map›Paper›PMID 33502669›Full record

ArticleMagma (New York, N.Y.)2021

Di-chromatic interpolation of magnetic resonance metabolic images.

Nicholas Dwork, Jeremy W Gordon, Shuyu Tang, Daniel O'Connor, Esben Søvsø Szocska Hansen, Christoffer Laustsen, Peder E Z Larson

Abstract read
In one paragraph

Article in Magma (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Volumetric Patch-Based Super-Resolution Reconstruction of HyperpolarizedIEEE access : practical innovations, open solutions · 2024
    Article
  2. 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

7 authors.

Nicholas DworkDepartment of Radiology and Biomedical Imaging, University of California in San Francisco, San Francisco, USA. nicholas.dwork@ucsf.edu.ORCID http://orcid.org/0000-0002-9838-4772
Jeremy W GordonDepartment of Radiology and Biomedical Imaging, University of California in San Francisco, San Francisco, USA.
Shuyu TangDepartment of Radiology and Biomedical Imaging, University of California in San Francisco, San Francisco, USA.
Daniel O'ConnorDepartment of Mathematics and Statistics, University of San Francisco, San Francisco, USA.
Esben Søvsø Szocska HansenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Christoffer LaustsenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Peder E Z LarsonDepartment of Radiology and Biomedical Imaging, University of California in San Francisco, San Francisco, USA.

Funding

Supplement for Development and Translation of Specialized Hyperpolarized C-13 MRI Methods for Alzheimer's DiseaseU01EB026412 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GORDON, JEREMY WILLIAM, VIGNERON, DANIEL B · 2019 to 2023
$6.6M
MRI methods for high resolution imaging of the lungR01HL136965 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSON, KEVIN MICHAEL, LARSON, PEDER ERIC ZUFALL · 2018 to 2021
$2.7M
American Heart Association 20POST35200152NHLBI NIH HHS R01 HL136965NIBIB NIH HHS U01 EB026412
6 · The paper itself

Abstract

objectiveMagnetic resonance imaging with hyperpolarized contrast agents can provide unprecedented in vivo measurements of metabolism, but yields images that are lower resolution than that achieved with proton anatomical imaging. In order to spatially localize the metabolic activity, the metabolic image must be interpolated to the size of the proton image. The most common methods for choosing the unknown values rely exclusively on values of the original uninterpolated image.

methodsIn this work, we present an alternative method that uses the higher-resolution proton image to provide additional spatial structure. The interpolated image is the result of a convex optimization algorithm which is solved with the fast iterative shrinkage threshold algorithm (FISTA).

resultsResults are shown with images of hyperpolarized pyruvate, lactate, and bicarbonate using data of the heart and brain from healthy human volunteers, a healthy porcine heart, and a human with prostate cancer.

Indexed as

Magnetic Resonance ImagingAlgorithmsAnimalsBrainHumansMagnetic Resonance SpectroscopyMalePyruvic AcidSwinePyruvic AcidImage processingInterpolationMRISpectroscopy

Identifiers

PMID33502669
PMCPMC7983744

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.