Evidence map›Paper›PMID 36934830›Full record

ArticleMagnetic resonance imaging2023

Optimization in the space domain for density compensation with the nonuniform FFT.

Nicholas Dwork, Daniel O'Connor, Ethan M I Johnson, Corey A Baron, Jeremy W Gordon, John M Pauly, Peder E Z Larson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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 DworkBiomedical Informatics and Radiology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA. Electronic address: nicholas.dwork@cuanschutz.edu.
Daniel O'ConnorMathematics and Statistics, University of San Francisco, San Francisco, CA, USA.
Ethan M I JohnsonBiomedical Engineering, Northwestern University, Evanston, IL, USA.
Corey A BaronCenter for Functional and Metabolic Mapping, Western University, Ontario, Canada.
Jeremy W GordonRadiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA.
John M PaulyElectrical Engineering Department, Stanford University, Palo Alto, CA, USA.
Peder E Z LarsonRadiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, 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
NHLBI NIH HHS R01 HL136965NIBIB NIH HHS U01 EB026412
6 · The paper itself

Abstract

The non-uniform Discrete Fourier Transform algorithm has shown great utility for reconstructing images from non-uniformly spaced Fourier samples in several imaging modalities. Due to the non-uniform spacing, some correction for the variable density of the samples must be made. Common methods for generating density compensation values are either sub-optimal or only consider a finite set of points in the optimization. This manuscript presents an algorithm for generating density compensation values from a set of Fourier samples that takes into account the point spread function over an entire rectangular region in the image domain. We show that the reconstructed images using the density compensation values of this method are of superior quality when compared to other standard methods. Results are shown with a numerical phantom and with magnetic resonance images of the abdomen and the knee.

Indexed as

AlgorithmsImage Processing, Computer-AssistedAbdomenFourier AnalysisMagnetic Resonance ImagingPhantoms, ImagingDensity compensationGriddingNUFFT

Identifiers

PMID36934830
PMCPMC10288563

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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.