Evidence map›Paper›PMID 38501914›Full record

ArticleMagnetic resonance in medicine2024

Pre-excitation gradients for eddy current nulled convex optimized diffusion encoding (Pre-ENCODE).

Matthew J Middione, Michael Loecher, Xiaozhi Cao, Kawin Setsompop, Daniel B Ennis

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2024. 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. 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.

Matthew J MiddioneDepartment of Radiology, Stanford University, Stanford, California.ORCID 0000-0002-1121-8131
Michael LoecherDepartment of Radiology, Stanford University, Stanford, California.ORCID 0000-0002-6533-1113
Xiaozhi CaoDepartment of Radiology, Stanford University, Stanford, California.ORCID 0000-0001-5095-648X
Kawin SetsompopDepartment of Radiology, Stanford University, Stanford, California.ORCID 0000-0003-0455-7634
Daniel B EnnisDepartment of Radiology, Stanford University, Stanford, California.ORCID 0000-0001-7435-1311

Funding

MRI CORTICOGRAPHY: DEVELOPING NEXT GENERATION MICROSCALE HUMAN CORTEX MRI SCANNERU01EB025162 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI FEINBERG, DAVID ALAN, LIU, CHUNLEI · 2017 to 2021
$13.4M
Next generation in-vivo diffusion imaging at submillimeter resolutionR01MH116173 · NIMH · STANFORD UNIVERSITY · PI Yogesh Rathi, Kawin Setsompop · 2018 to 2026
$6.2M
NIBIB NIH HHS U01 EB025162NIBIB NIH HHS U01-EB025162NIMH NIH HHS R01 MH116173NIMH NIH HHS R01-MH116173
6 · The paper itself

Abstract

purposeTo evaluate the use of pre-excitation gradients for eddy current-nulled convex optimized diffusion encoding (Pre-ENCODE) to mitigate eddy current-induced image distortions in diffusion-weighted MRI (DWI).

methodsDWI sequences using monopolar (MONO), ENCODE, and Pre-ENCODE were evaluated in terms of the minimum achievable echo time (TE

resultsPre-ENCODE provided a shorter TE

conclusionPre-ENCODE mitigated eddy current-induced image distortions for diffusion imaging with a shorter TE

Indexed as

AlgorithmsBrainDiffusion Magnetic Resonance ImagingImage Processing, Computer-AssistedPhantoms, ImagingAdultArtifactsComputer SimulationHealthy VolunteersHumansdiffusioneddy currentstime‐optimal

Identifiers

PMID38501914
PMCPMC11142872

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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.