Evidence map›Paper›PMID 32077521›Full record

ArticleMagnetic resonance in medicine2020

A within-coil optical prospective motion-correction system for brain imaging at 7T.

Phillip DiGiacomo, Julian Maclaren, Murat Aksoy, Elizabeth Tong, Mackenzie Carlson, Bryan Lanzman, Syed Hashmi, Ronald Watkins, Jarrett Rosenberg, Brian Burns and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Rigid motion-resolvedMagnetic resonance in medicine · 2022
    Article
  8. Iron and Alzheimer's Disease: From Pathology to Imaging.Frontiers in human neuroscience · 2022
    Review
  9. Article
  10. Review
  11. Review
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

15 authors at 2 institutions in 2 countries.

Phillip DiGiacomoDepartment of Bioengineering, Stanford University, Stanford, California.ORCID 0000-0002-2441-4086
Julian MaclarenDepartment of Radiology, Stanford University, Stanford, California.
Murat AksoyDepartment of Radiology, Stanford University, Stanford, California.
Elizabeth TongDepartment of Radiology, Stanford University, Stanford, California.
Mackenzie CarlsonDepartment of Bioengineering, Stanford University, Stanford, California.
Bryan LanzmanDepartment of Radiology, Stanford University, Stanford, California.
Syed HashmiDepartment of Radiology, Stanford University, Stanford, California.
Ronald WatkinsDepartment of Radiology, Stanford University, Stanford, California.
Jarrett RosenbergDepartment of Radiology, Stanford University, Stanford, California.
Brian BurnsApplied Sciences Lab West, GE Healthcare, Menlo Park, California.
Timothy W SklossMR Advanced Systems, GE Healthcare, Waukesha, Wisconsin.
Dan RettmannMR Applications and Workflow, GE Healthcare, Rochester, Minnesota.
Brian RuttDepartment of Bioengineering, Stanford University, Stanford, California.
Roland BammerDepartment of Radiology, University of Melbourne, Melbourne, Australia.
Michael ZeinehDepartment of Radiology, Stanford University, Stanford, California.
Stanford University · USThe University of Melbourne · AU

Funding

Training and DisseminationP41EB015891 · NIBIB · STANFORD UNIVERSITY · PI GLOVER, GARY H · 2012 to 2019
$10.7M
Iron as an Imaging Biomarker for Inflammation in ADR01AG061120 · NIA · STANFORD UNIVERSITY · PI ZEINEH, MICHAEL M · 2019 to 2023
$3.5M
Predoctoral Training in Biomedical Imaging at Stanford UniversityT32EB009653 · NIBIB · STANFORD UNIVERSITY · PI BUTTS-PAULY, KIM · 2010 to 2019
$2.1M
Next Generation 7T MRI Platform Upgrade with Parallel Transmit CapabilitiesS10RR026351 · NCRR · STANFORD UNIVERSITY · PI RUTT, BRIAN KEITH · 2011 to 2011
$600k
NCRR NIH HHS S10 RR026351NIA NIH HHS R01 AG061120NIBIB NIH HHS P41 EB015891NIBIB NIH HHS T32 EB009653
6 · The paper itself

Abstract

purposeMotion artifact limits the clinical translation of high-field MR. We present an optical prospective motion correction system for 7 Tesla MRI using a custom-built, within-coil camera to track an optical marker mounted on a subject.

methodsThe camera was constructed to fit between the transmit-receive coils with direct line of sight to a forehead-mounted marker, improving upon prior mouthpiece work at 7 Tesla MRI. We validated the system by acquiring a 3D-IR-FSPGR on a phantom with deliberate motion applied. The same 3D-IR-FSPGR and a 2D gradient echo were then acquired on 7 volunteers, with/without deliberate motion and with/without motion correction. Three neuroradiologists blindly assessed image quality. In 1 subject, an ultrahigh-resolution 2D gradient echo with 4 averages was acquired with motion correction. Four single-average acquisitions were then acquired serially, with the subject allowed to move between acquisitions. A fifth single-average 2D gradient echo was acquired following subject removal and reentry.

resultsIn both the phantom and human subjects, deliberate and involuntary motion were well corrected. Despite marked levels of motion, high-quality images were produced without spurious artifacts. The quantitative ratings confirmed significant improvements in image quality in the absence and presence of deliberate motion across both acquisitions (P < .001). The system enabled ultrahigh-resolution visualization of the hippocampus during a long scan and robust alignment of serially acquired scans with interspersed movement.

conclusionWe demonstrate the use of a within-coil camera to perform optical prospective motion correction and ultrahigh-resolution imaging at 7 Tesla MRI. The setup does not require a mouthpiece, which could improve accessibility of motion correction during 7 Tesla MRI exams.

Indexed as

ArtifactsBrainHumansMagnetic Resonance ImagingMotionNeuroimagingProspective Studiesneuroimagingoptical motion correctionprospective motion correctionultrahigh field MRI

Identifiers

PMID32077521
PMCPMC7263977
OpenAlexW3007333708

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.