Evidence map›Paper›PMID 33949713›Full record

ArticleMagnetic resonance in medicine2021

3D amplified MRI (aMRI).

Itamar Terem, Leo Dang, Allen Champagne, Javid Abderezaei, Aymeric Pionteck, Zainab Almadan, Anna-Maria Lydon, Mehmet Kurt, Miriam Scadeng, Samantha J Holdsworth

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Single neurons in the thalamus and subthalamic nucleus process cardiac and respiratory signals in humans.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

10 authors.

Itamar TeremDepartment of Electrical Engineering, Stanford University, Stanford, California, USA.ORCID 0000-0002-6544-9138
Leo DangDepartment of Anatomy and Medical Imaging & Centre for Brain Research, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.ORCID 0000-0003-3623-1735
Allen ChampagneCentre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada.
Javid AbderezaeiDepartment of Mechanical Engineering, Stevens Institute of Technology, Hoboken, New Jersey, USA.
Aymeric PionteckDepartment of Mechanical Engineering, Stevens Institute of Technology, Hoboken, New Jersey, USA.
Zainab AlmadanDepartment of Anatomy and Medical Imaging & Centre for Brain Research, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Anna-Maria LydonCentre for Advanced MRI, University of Auckland, Auckland, New Zealand.
Mehmet KurtDepartment of Mechanical Engineering, Stevens Institute of Technology, Hoboken, New Jersey, USA.
Miriam ScadengDepartment of Anatomy and Medical Imaging & Centre for Brain Research, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Samantha J HoldsworthDepartment of Anatomy and Medical Imaging & Centre for Brain Research, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.

Funding

Amplified MRI (aMRI): A novel way to investigate the pathophysiology of Chiari Malformation IR21NS111415 · NINDS · UNIVERSITY OF WASHINGTON · PI KURT, MEHMET · 2019 to 2019
$438k
NINDS NIH HHS R21 NS111415NSF graduate fellowship, National Institutes of Health R21NS111415The New Zealand Provincial Growth Fund, and Trust TairāwhitiUniversity of Auckland FDRF strategic initiatives grant
6 · The paper itself

Abstract

purposeAmplified MRI (aMRI) has been introduced as a new method of detecting and visualizing pulsatile brain motion in 2D. Here, we improve aMRI by introducing a novel 3D aMRI approach.

methods3D aMRI was developed and tested for its ability to amplify sub-voxel motion in all three directions. In addition, 3D aMRI was qualitatively compared to 2D aMRI on multi-slice and 3D (volumetric) balanced steady-state free precession cine data and phase contrast (PC-MRI) acquired on healthy volunteers at 3T. Optical flow maps and 4D animations were produced from volumetric 3D aMRI data.

results3D aMRI exhibits better image quality and fewer motion artifacts compared to 2D aMRI. The tissue motion was seen to match that of PC-MRI, with the predominant brain tissue displacement occurring in the cranial-caudal direction. Optical flow maps capture the brain tissue motion and display the physical change in shape of the ventricles by the relative movement of the surrounding tissues. The 4D animations show the complete brain tissue and cerebrospinal fluid (CSF) motion, helping to highlight the "piston-like" motion of the ventricles.

conclusionsHere, we introduce a novel 3D aMRI approach that enables one to visualize amplified cardiac- and CSF-induced brain motion in striking detail. 3D aMRI captures brain motion with better image quality than 2D aMRI and supports a larger amplification factor. The optical flow maps and 4D animations of 3D aMRI may open up exciting applications for neurological diseases that affect the biomechanics of the brain and brain fluids.

Indexed as

Imaging, Three-DimensionalMagnetic Resonance ImagingArtifactsBrainHumansMovement3D steerable pyramidamplified MRIcardiac-gated cine MRIoptical flow

Identifiers

PMID33949713
PMCPMC8252598

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.