METHODS FOR MOTION ARTIFACT REDUCTION AND CORRECTION OF MULTISPECTRAL SOFT TISSUE IMAGING AND RELATED SYSTEMS

Abstract: various motion artifact reduction and correction methods are provided within multispectral soft tissue imaging architecture. a motion amplitude indication and monitoring strategy is useful before reducing motion and this can be achieved through hardware sensors such as accelerometers, gyroscopes, or software analysis such as image registration, optics flow. large and medium level motion such as device shaking, and target breathing can be resolved through image stabilization and snapshot approach by only using a time interval where motion is minimum. small and micro motion such as device vibration can be resolved through motion correction by identifying the mathematical correlation between velocity magnitude and signal to noise ratio (snr) or baseline normalization by using a standard reflection marker. sources of the motion need to be taken into consideration such as intrinsic motion from the target or extrinsic motion from the device. the present inventive concept can apply to broadband, narrowband, fluorescence, autofluorescence, laser speckle imaging (lsi), laser doppler imaging (ldi), tissue oxygenation imaging, and other variation of soft tissue imaging modalities. the imaging software includes temporally and spatially synchronized acquisition of motion amplitude, multiple imaging channels, image processing based on physics principle and mathematical equations of each imaging modality, motion reduction and correction, image fusion-based visualization and report. the system is designed to be an addon to smart phones, tablets, and other mobile devices as portable equipment.

Inventor(s): Cheng Chen, Joffre Alvarez, Elizabeth Clarke, Megan Rosengarten, Phil Hodges

CPC Classification: G06T7/215 (Motion-based segmentation)

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