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

Overview of attention for article published in Magnetic Resonance in Medicine, July 2017
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Title
Prospective motion correction using coil-mounted cameras: Cross-calibration considerations
Published in
Magnetic Resonance in Medicine, July 2017
DOI 10.1002/mrm.26838
Pubmed ID
Authors

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

Abstract

Optical 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. A 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. The 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. The methods presented here allow calibration of sufficient quality to be carried out and maintained with no additional technologist workload. Magn Reson Med, 2017. © 2017 International Society for Magnetic Resonance in Medicine.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 36%
Student > Ph. D. Student 5 23%
Student > Bachelor 2 9%
Unspecified 2 9%
Student > Master 2 9%
Other 3 14%
Readers by discipline Count As %
Engineering 7 32%
Physics and Astronomy 5 23%
Medicine and Dentistry 4 18%
Unspecified 3 14%
Neuroscience 1 5%
Other 2 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 July 2017.
All research outputs
#10,800,889
of 12,181,726 outputs
Outputs from Magnetic Resonance in Medicine
#4,208
of 4,866 outputs
Outputs of similar age
#224,830
of 266,136 outputs
Outputs of similar age from Magnetic Resonance in Medicine
#63
of 149 outputs
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