Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add more filters










Database
Language
Publication year range
1.
Magn Reson Med ; 80(6): 2415-2426, 2018 12.
Article in English | MEDLINE | ID: mdl-29687919

ABSTRACT

PURPOSE: Head movements are a major source of MRI artefacts. Prospective motion correction techniques significantly improve data quality, but strong motion artefacts may remain in the data. We introduce a framework to suspend data acquisition during periods of head motion over a predefined threshold. METHODS: Data was acquired with prospective motion correction and an external optical tracking system. A predictor of motion impact was introduced that accounts for the amplitude of the signal acquired at the time of the motion. From this predictor, a threshold was defined to trigger the suspension of data acquisition during periods of motion. The framework was tested on 5 subjects, 2 motion behaviors, and 2 head coils (20 and 64 channels). RESULTS: The best improvements in data quality were obtained for a threshold value of 0, equivalent to suspending the acquisition based on head speed alone, at the cost of a long prolongation of scan time. For threshold values ∼3.5e-4 , image quality was largely preserved, and prolongation of scan time was minimal. Artefacts occasionally remained with the 64-channel head coil for all threshold values, seemingly due to head movement in the sharp sensitivity profile of this coil. CONCLUSION: The proposed suspension strategy is more efficient than relying on head speed alone. The threshold for suspension of data acquisition governs the tradeoff between image degradation due to motion and prolonged scan time, and can be tuned by the user according to the desired image quality and participant's tolerability.


Subject(s)
Artifacts , Brain/diagnostic imaging , Head Movements , Head/diagnostic imaging , Image Processing, Computer-Assisted/methods , Magnetic Resonance Imaging , Algorithms , Humans , Image Interpretation, Computer-Assisted/methods , Models, Statistical , Neuroimaging , Prospective Studies
SELECTION OF CITATIONS
SEARCH DETAIL
...