Abstract #2559
USING BRAIN IMAGING DATA TO DETECT AND CORRECT NON-RIGID SENSOR MOTION IN PROSPECTIVE MOTION CORRECTION
Paul Wighton 1,2 , Matthew Dylan Tisdall 1,2 , Erez Nevo 3 , and Andr Dylan van der Kouwe 1
1
Martinos Center for Biomedical Imaging, MGH,
Charlestown, MA, United States,
2
Harvard
Medical School, Boston, MA, United States,
3
Robin
Medical, Baltimore, MD, United States
Several external tracking prospective motion correction
systems require a marker or sensor be affixed to the
subject's head. These systems assume that the sensor
moves rigidly with respect to the subject's head. When
this assumption is violated, performance of the system
degrades. This abstract investigates the incorporation
of position estimates from imaging data to recover from
non-rigid sensor affixation.
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