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hmrR_MotionCorrectCbsi
jayd1860 edited this page Apr 11, 2023
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1 revision
UI Name :
Cbsi_Motion_Correction
Syntax :
function data_dc = hmrR_MotionCorrectCbsi(data_dc, mlActAuto, turnon)
Description :
Perform a correlation-based signal improvement of the concentration changes in order to correct for motion artifacts. The algorithm follows the procedure described by Cui et al.,NeuroImage, 49(4), 3039-46 (2010).
Inputs :
- data_dc: Concentration changes (it works with HbO and HbR)
- mlActAuto:
- turnon: Skip this function if turnon=1. Otherwise execute the function. Default is to execute the function if this does not exist.
Outputs :
- data_dc: dc after correlation-based signal improvement correction, the same size as dc (Channels that are not in the active ml remain unchanged).
Usage Options :
- Cbsi_Motion_Correction: dc = hmrR_MotionCorrectCbsi(dc, mlActAuto, turnon)
Default Parameters :
- turnon: 1
Prerequisites :
- Delta_OD_to_Conc: dc = hmrR_OD2Conc( dod, probe, ppf )
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