3D Image Reconstruction System for Cancerous Tumors Analysis Based on Diffuse Optical Tomography with Blender

There are different studies that allow detecting the presence of cancer cells in a patient; however, the time it takes to obtain a correct diagnosis is critical for these cases. This work presents the design and construction of a prototype as first approach for a microtomograph based on Diffuse Optical Tomography (DOT). Diffused Optical Tomography is a technique that uses light from the Near Infrared Region (NIR) to measure tissue’s optical properties that has become relevant for the medical field due to it being a non-invasive technique. The main goal of this device is to be able to detect and analyze cancerous tumors by measuring diffuse photon densities in turbid media. As a first phase of the development, this project integrates an image acquisition mechanism, an image processing interface at software level developed with Blender to exploit a GPU architecture to optimize the execution time.