Evidence map›Paper›PMID 31707191›Full record

ArticleNeuroImage2020

Robust single-shot acquisition of high resolution whole brain ASL images by combining time-dependent 2D CAPIRINHA sampling with spatio-temporal TGV reconstruction.

Stefan M Spann, Xingfeng Shao, Danny Jj Wang, Christoph S Aigner, Matthias Schloegl, Kristian Bredies, Rudolf Stollberger

Abstract read
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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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

7 authors.

Stefan M SpannInstitute of Medical Engineering, Graz University of Technology, Stremayrgasse 16, 8010, Graz, Austria.
Xingfeng ShaoLaboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Danny Jj WangLaboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Christoph S AignerInstitute of Medical Engineering, Graz University of Technology, Stremayrgasse 16, 8010, Graz, Austria; BioTechMed-Graz, Graz, Austria.
Matthias SchloeglInstitute of Medical Engineering, Graz University of Technology, Stremayrgasse 16, 8010, Graz, Austria.
Kristian BrediesInstitute for Mathematics and Scientific Computing, University of Graz, NAWI Graz, Heinrichstrasse 36, 8010, Graz, Austria; BioTechMed-Graz, Graz, Austria.
Rudolf StollbergerInstitute of Medical Engineering, Graz University of Technology, Stremayrgasse 16, 8010, Graz, Austria; BioTechMed-Graz, Graz, Austria. Electronic address: rudolf.stollberger@tugraz.at.

Funding

Imaging Cerebral and Retinal Microvasculature in Cerebral Small Vessel DiseaseUH3NS100614 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KASHANI, AMIR H, RINGMAN, JOHN M · 2018 to 2020
$4.3M
The structural and functional connectome across Alzheimer's disease subtypesU01AG051218 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI RINGMAN, JOHN M · 2015 to 2018
$3.6M
Imaging Cerebral and Retinal Microvasculature in Cerebral Small Vessel DiseaseUH2NS100614 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KASHANI, AMIR H, RINGMAN, JOHN M · 2016 to 2017
$2.4M
Multiband ASL for Neurodevelopment StudyR01EB028297 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WANG, DANNY JJ · 2019 to 2023
$2.2M
NIA NIH HHS U01 AG051218NIBIB NIH HHS R01 EB028297NINDS NIH HHS UH2 NS100614NINDS NIH HHS UH3 NS100614
6 · The paper itself

Abstract

For ASL perfusion imaging in clinical settings the current guidelines recommends pseudo-continuous arterial spin labeling with segmented 3D readout. This combination achieves the best signal to noise ratio with reasonable resolution but is prone to motion artifacts due to the segmented readout. Motion robust single-shot 3D acquisitions suffer from image blurring due to the T2 decay of the sampled signals during the long readout. To tackle this problem, we propose an accelerated 3D-GRASE sequence with a time-dependent 2D-CAIPIRINHA sampling pattern. This has several advantages: First, the single-shot echo trains are shortened by the acceleration factor; Second, the temporal incoherence between measurements is increased; And third, the coil sensitivity maps can be estimated directly from the averaged k-space data. To obtain improved perfusion images from the undersampled time series, we developed a variational image reconstruction approach employing spatio-temporal total-generalized-variation (TGV) regularization. The proposed ASL-TGV method reduced the total acquisition time, improved the motion robustness of 3D ASL data, and the image quality of the cerebral blood flow (CBF) maps compared to those by a standard segmented approach. An evaluation was performed on 5 healthy subjects including intentional movement for 2 subjects. Single-shot whole brain CBF-maps with high resolution 3.1 × 3.1 × 3 mm and image quality can be acquired in 1min 46sec. Additionally high quality CBF- and arterial transit time (ATT) -maps from single-shot multi-post-labeling delay (PLD) data can be gained with the proposed method. This method may improve the robustness of 3D ASL in clinical settings, and may be applied for perfusion fMRI.

Indexed as

AdultBrainCerebrovascular CirculationFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance AngiographyMaleSignal-To-Noise RatioSpin LabelsSpin LabelsArterial spin labelingASLCAIPIRINHACBFCerebral blood flowSpatio-temporal reconstructionTotal generalized variation (TGV)

Identifiers

PMID31707191
PMCPMC6980903

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.