Evidence map›Paper›PMID 28722314›Full record

ArticleMagnetic resonance in medicine2018

Prospective motion correction using coil-mounted cameras: Cross-calibration considerations.

Julian Maclaren, Murat Aksoy, Melvyn B Ooi, Benjamin Zahneisen, Roland Bammer

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. External Hardware and Sensors, for Improved MRI.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Rigid Motion Correction for Brain PET/MR Imaging using Optical Tracking.IEEE transactions on radiation and plasma medical sciences · 2019
    Article
  11. Article
  12. Article
  13. Ultra-Low-DoseRadiology · 2019
    Article
  14. Resting State fMRI: Going Through the Motions.Frontiers in neuroscience · 2019
    Review
  15. 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

5 authors.

Julian MaclarenDepartment of Radiology, Stanford University, Stanford, California, USA.
Murat AksoyDepartment of Radiology, Stanford University, Stanford, California, USA.
Melvyn B OoiDepartment of Radiology, Stanford University, Stanford, California, USA.
Benjamin ZahneisenDepartment of Radiology, Stanford University, Stanford, California, USA.
Roland BammerDepartment of Radiology, Stanford University, Stanford, California, USA.

Funding

X-RAY COMPATIBLE RF-COIL FOR MR IMAGINGP41RR009784 · NCRR · STANFORD UNIVERSITY · PI GLOVER, GARY H · 1995 to 2011
$15.0M
Real-Time MRI Motion Correction SystemR01EB011654 · NIBIB · STANFORD UNIVERSITY · PI ZEINEH, MICHAEL M · 2010 to 2013
$2.4M
A Prototype Wireless Digital MR Spectrometer on a Single Integrated CircuitR21EB017616 · NIBIB · STANFORD UNIVERSITY · PI BAMMER, ROLAND · 2013 to 2014
$425k
Real-Time MRI Motion Correction SystemR21EB006860 · NIBIB · STANFORD UNIVERSITY · PI BAMMER, ROLAND · 2007 to 2008
$415k
NCRR NIH HHS P41 RR009784NIBIB NIH HHS R01 EB011654NIBIB NIH HHS R21 EB006860NIBIB NIH HHS R21 EB017616
6 · The paper itself

Abstract

purposeOptical prospective motion correction substantially reduces sensitivity to motion in neuroimaging of human subjects. However, a major barrier to clinical deployment has been the time-consuming cross-calibration between the camera and MRI scanner reference frames. This work addresses this challenge.

methodsA single camera was mounted onto the head coil for tracking head motion. Two new methods were developed: (1) a rapid calibration method for camera-to-scanner cross-calibration using a custom-made tool incorporating wireless active markers, and (2) a calibration adjustment method to compensate for table motion between scans. Both methods were tested at 1.5T and 3T in vivo. Simulations were performed to determine the required mechanical tolerance for repositioning of the camera.

resultsThe rapid calibration method is completed in a short (<30 s) scan, which is carried out only once per installation. The calibration adjustment method requires no extra scan time and runs automatically whenever the system is used. The mechanical tolerance analysis indicates that most motion (90% reduction in voxel displacement) could be corrected even with far larger camera repositioning errors than are observed in practice.

conclusionThe methods presented here allow calibration of sufficient quality to be carried out and maintained with no additional technologist workload. Magn Reson Med 79:1911-1921, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Indexed as

Cerebrovascular CirculationOptical DevicesAdenomaAlgorithmsBrainCalibrationComputer SimulationEquipment DesignFemaleHeadHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMotionNeuroimagingcross-calibrationin-bore cameraoptical adaptive motion correctionprospective motion correctionwireless active markers

Identifiers

PMID28722314
PMCPMC5899426

What OpenQuestion holds

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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.