Low-Cost Infrared Cameras

This thesis presents a process to create 3D thermal models from multi view images captured with low cost devices, a smartphone and low cost thermal camera. 3D thermal models contribute to a data-driven assessment of chronic wounds and improve the limitations of manual measurements and subjective visual observation. Leveraging color and thermal imaging, realistic 3D thermal models are created from a limited set of images, demonstrating their effectiveness in wound assessment in a clinical study, emphasizing portability and low-cost applicability.

In this study, we propose the use of commercial devices, such as mobile devices and portable thermography, to integrate information from different wavelengths onto the surface of a 3D model. Thermal and color 3D models were successfully created for six patients with multiple views from a low-cost commercial device.

A methodology is proposed for multimodal wound monitoring in the hospital environment with a simple hand-held shooting protocol. The methodology we present is able to generate color and thermal 3D models by using portable devices; and was used efficiently with 5 patients on wounds of various sizes and types.

The use of low-cost cameras for medical applications has its advantages as it enables affordable and remote evaluations of health problems; however, the accuracy is a limiting factor to use them. Previous studies indicate that parameters from object …

In this work, I explore Bayesian approaches for estimating disease prevalence when accurate diagnostic tests are unavailable. Simulation studies assess the performance of two methods, enabling estimation of chronic kidney disease prevalence in Peru using the CRONICAS cohort study.