Evidence map›Paper›PMID 38888135›Full record

ArticleMagnetic resonance in medicine2024

Fast 3D fMRI acquisition with high spatial resolutions over a reduced FOV.

Qingfei Luo, Kaibao Sun, Guangyu Dan, Xiaohong Joe Zhou

Abstract read
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. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Qingfei LuoCenter for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, Illinois, USA.ORCID 0000-0001-5574-817X
Kaibao SunCenter for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, Illinois, USA.ORCID 0000-0001-6923-5914
Guangyu DanCenter for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, Illinois, USA.ORCID 0000-0003-0427-5661
Xiaohong Joe ZhouCenter for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, Illinois, USA.ORCID 0000-0003-0793-4925

Funding

A High-End 3 Tesla Human MRI Scanner Dedicated to ResearchS10RR028898 · NCRR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ZHOU, XIAOHONG JOE · 2010 to 2010
$2.9M
Probing Intra-voxel Tissue Heterogeneity Using MRIR01EB026716 · NIBIB · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ZHOU, XIAOHONG JOE · 2018 to 2022
$1.7M
NCRR NIH HHS S10 RR028898NIBIB NIH HHS R01 EB026716NIH HHS 1S10RR028898NIH HHS 5R01EB026716
6 · The paper itself

Abstract

purposeTo develop and demonstrate a fast 3D fMRI acquisition technique with high spatial resolution over a reduced FOV, named k-t 3D reduced FOV imaging (3D-rFOVI).

methodsBased on 3D gradient-echo EPI, k-t 3D-rFOVI used a 2D RF pulse to reduce the FOV in the in-plane phase-encoding direction, boosting spatial resolution without increasing echo train length. For image acceleration, full sampling was applied in the central k-space region along the through-slab direction (k

resultsThe simulation data showed that k-t 3D-rFOVI can detect 100% of fMRI activations with an acceleration factor (R) of 2 and ˜80% with R = 6. In the human fMRI data acquired with 1.5-mm spatial resolution and 800-ms volume TR (TR

conclusionsk-t 3D-rFOVI can simultaneously achieve a high spatial resolution (1.5-mm isotropically) and short TR

Indexed as

AlgorithmsBrainImaging, Three-DimensionalMagnetic Resonance ImagingAdultBrain MappingComputer SimulationEcho-Planar ImagingFemaleHumansImage Processing, Computer-AssistedMale2D RF pulse3D EPIfast fMRI(k, t)‐spacepartial separabilityrandom undersamplingreduced FOV

Identifiers

PMID38888135
PMCPMC11341251

What OpenQuestion holds

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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.