Spectral-guided wound modeling and therapeutic dressing

Abstract

A multispectral photonic imaging system and associated methods are disclosed for classifying wound tissue and generating customized therapeutic wound dressings. The system employs wavelength-specific optical sources and integrated image sensors to capture multispectral reflectance data from a wound, enabling computational classification of distinct tissue types such as granulation, slough, and necrosis. A three-dimensional (3D) digital model of the wound is constructed using spatial data from depth sensors. The classified 3D wound model facilitates automated design of patient-specific dressings, featuring heterogeneous regions tailored with therapeutic compounds like antimicrobial agents, analgesics, collagen scaffolds, and hydrogel matrices precisely aligned to corresponding tissue classifications. Additional imaging modalities, including thermal and ultrasound sensors, can be integrated to enhance classification accuracy and inform targeted therapeutic placement, providing a comprehensive and personalized approach to wound management for medical and veterinary applications.