Multimodal Registration Algorithm of Plantar Pressure Images and Digital Scanner for the Characterization of the Diabetic Foot in the BASPI/FootLab Laboratory

This project focuses on the BASPI/FootLab research line, “Emerging Technologies To Support Health Care and Independent living”. This paper shows the continuity to the improvement of the DIAPETICS platform, which supports the prevention of ulcers in patients with diabetic foot developed by the BASPI/FootLab laboratory, the implementation of a multimodal image registration algorithm was carried out to analyze the distribution of plantar pressures with the morphology of the foot, using plantar pressure and digital scanner images of the laboratory, thus using image processing techniques that allow to visually characterize and understand diabetic foot patterns that provide new information towards early diagnosis and identification of patients with peripheral neuropathy considered in the model to be developed by the laboratory. Once the multimodal image registration algorithm was implemented, its performance was evaluated by comparing it with other methods that have been implemented in the literature, thus obtaining performance measurements of all the multimodal image processing techniques, that seem useful in the comparison and characterization of the diabetic foot to verify whether it is possible to determine a normal and abnormal plantar pressure threshold, according to the results obtained.