Prediction of diabetic foot healing based on hyperspectral reconstruction

Diabetic foot ulcers are a significant complication that afflicts diabetes patients, posing a serious threat to their quality of life and health. However, challenges persist in the current landscape of risk assessment and treatment prognosis regarding diabetic foot ulcers. Hyperspectral imaging, an advanced non-invasive detection technology, has garnered considerable attention for its potential in assessing and predicting the development risk and non-invasive healing possibilities of diabetic foot ulcers. Given the challenges in collecting hyperspectral datasets, this paper visually reconstructs hyperspectral images from the available optical data for diabetic foot ulcers. It visualizes the oxygen saturation in the ulcer region and concludes that the average oxygen saturation for ulcers that eventually healed falls within the range of 54% to 64%, while for ulcers that did not heal, the average oxygen saturation ranges from 32% to 48%.