METHODS OF MULTISPECTRAL IMAGING AND PREDICTIVE ANALYSIS OF WOUNDS AND BURNS BASED ON MACHINE LEARNING AND RELATED SYSTEMS

Abstract: methodology of various imaging modalities and engineering features are provided for multispectral soft tissue imaging architecture. the architectural designs comprise hardware of multiple ranges of wavelength for illumination and camera sensing and software for image acquisition, processing, feature abstraction, artificial intelligence-machine learning (ai-ml) analysis, visualization, and reporting. embodiments of imaging hardware in a medical device can include a light source of multiple bands of wavelength of noncoherent and coherent light for 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 can include temporally and spatially synchronized acquisition of multiple imaging channels, image processing based on physics principle and mathematical equations of each imaging modality, feature engineering to abstract key parameters, ai-ml training and predictive analysis, image fusion-based visualization and report. the system is designed to be either an addon to smart phones, tablets or independent handheld equipment based on embedded system on module (som).

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

CPC Classification: G01J3/2823 ({Imaging spectrometer})

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