Coil mixing error matrix and deep learning for prospective motion assessment

Systems and Methods that identify the effect of motion during a medical imaging procedure. A neural network is trained to translate motion induced deviations of a coil-mixing matrix relative to a reference acquisition into a motion score. This score can be used for the prospective detection of the m...

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Hauptverfasser:	Clifford, Bryan, Lo, Wei-Ching, Polak, Daniel, Splitthoff, Daniel Nicolas, Hossbach, Julian, Cauley, Stephen Farman
Format:	Patent
Sprache:	eng
Schlagworte:	MEASURING MEASURING ELECTRIC VARIABLES MEASURING MAGNETIC VARIABLES PHYSICS TESTING
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creator	Clifford, Bryan Lo, Wei-Ching Polak, Daniel Splitthoff, Daniel Nicolas Hossbach, Julian Cauley, Stephen Farman
description	Systems and Methods that identify the effect of motion during a medical imaging procedure. A neural network is trained to translate motion induced deviations of a coil-mixing matrix relative to a reference acquisition into a motion score. This score can be used for the prospective detection of the most corrupted echo trains for removal or triggering a replacement by reacquisition.
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title	Coil mixing error matrix and deep learning for prospective motion assessment
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