Evidence map›Paper›PMID 27813164›Full record

ArticleMagnetic resonance in medicine2017

3D-accelerated, stack-of-spirals acquisitions and reconstruction of arterial spin labeling MRI.

Yulin V Chang, Marta Vidorreta, Ze Wang, John A Detre

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

25 citing papers in PubMed, 35 citations in OpenAlex.

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  13. ADAPTIVE JOINT DATA SELECTION FOR SPARSITY BASED ARTERIAL SPIN LABELING MRI DENOISING.Proceedings. IEEE International Symposium on Biomedical Imaging · 2024
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  15. ASL MRI Denoising via Multi Channel Collaborative Low-Rank Regularization.Proceedings of SPIE--the International Society for Optical Engineering · 2024
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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

4 authors at 2 institutions in 2 countries.

Yulin V ChangDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
Marta VidorretaDepartment of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania.
Ze WangCenter for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang, China.
John A DetreDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
University of Pennsylvania · USHangzhou Normal University · CN

Funding

Training and DisseminationP41EB015893 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI REDDY, RAVINDER · 2012 to 2019
$11.3M
Multidisciplinary Training in Cardiovascular BiologyT32HL007954 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI DAVIES, PETER FRANCIS · 2000 to 2019
$9.9M
Perfusion MRI for Multi-site Studies of Brain FunctionR01MH080729 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ALSOP, DAVID CHARLES, DETRE, JOHN A · 2007 to 2017
$3.8M
NHLBI NIH HHS T32 HL007954NIBIB NIH HHS P41 EB015893NIMH NIH HHS R01 MH080729
6 · The paper itself

Abstract

purposeThe goal of this study was to develop a 3D acceleration and reconstruction method to improve image quality and resolution of background-suppressed arterial spin-labeled perfusion MRI.

methodsAccelerated acquisition was implemented in all three k-space dimensions in a stack-of-spirals readout using variable density spirals and partition undersampling. A single 3D self-consistent parallel imaging (SPIRiT) kernel was calibrated and iteratively applied to reconstruct each imaging volume. Whole-brain (including cerebellum) perfusion imaging was obtained at 3-mm isotropic resolution (nominal) using single- and 2-shot acquisitions and at 2-mm isotropic resolution (nominal) using four-shot acquisitions, achieving effective acceleration factors between 5.5 and 6.6. The signal-to-noise (SNR) performance of 3D SPIRiT was evaluated. The temporal SNR (tSNR) of the cerebral blood flow (CBF) maps and the gray/white matter CBF ratios were quantified.

resultsThe readout of the arterial spin labeling (ASL) sequence was significantly shortened with acceleration. The CBF values were consistent between accelerated and fully sampled ASL. With shorter spiral interleaves and shorter echo trains, the accelerated images demonstrated reduced blurring and signal dropout in regions with high susceptibility gradients, resulting in improved image quality and increased gray/white matter CBF ratios. The shortened readout was accompanied by a corresponding decrease in tSNR.

conclusionThe 3D acceleration and reconstruction allow a rapid whole-brain readout that improved the quality of ASL perfusion imaging. Magn Reson Med 78:1405-1419, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Indexed as

AdultBrainCerebrovascular CirculationFemaleHumansImaging, Three-DimensionalMagnetic Resonance AngiographyMaleSignal-To-Noise RatioSpin LabelsSpin Labelsarterial spin labelingimage blurringiterative reconstructionmultiple pseudo replicanon-CartesianperfusionSNRSPIRiTtSNR

Identifiers

PMID27813164
PMCPMC5515691
OpenAlexW2547222931

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.