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

  • Marco Antonio Ramírez-SalinasEmail author
  • Luis Alfonso Villa-VargasEmail author
  • Neiel Israel Leyva-SantesEmail author
  • César Alejandro Hernández-CalderónEmail author
  • Sael González-RomeroEmail author
  • Miguel Angel Aleman-ArceEmail author
  • Eduardo San Martín-MartínezEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 948)


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.


Microtomography Diffused Optical Tomography Blender 3D reconstruction 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Centro de Investigación en Computación, Instituto Politécnico NacionalMexico CityMexico
  2. 2.Centro de Nanociencias y Micro y Nanotecnologías del Instituto Politécnico NacionalMexico CityMexico
  3. 3.Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada del Instituto Politécnico NacionalMexico CityMexico

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