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.
CITATION STYLE
Ramírez-Salinas, M. A., Villa-Vargas, L. A., Leyva-Santes, N. I., Hernández-Calderón, C. A., González-Romero, S., Aleman-Arce, M. A., & Martín-Martínez, E. S. (2019). 3D image reconstruction system for cancerous tumors analysis based on diffuse optical tomography with blender. In Communications in Computer and Information Science (Vol. 948, pp. 157–166). Springer Verlag. https://doi.org/10.1007/978-3-030-10448-1_15
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