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 Opti...

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Bibliographic Details
Published inSupercomputing pp. 157 - 166
Main Authors Ramírez-Salinas, Marco Antonio, Villa-Vargas, Luis Alfonso, Leyva-Santes, Neiel Israel, Hernández-Calderón, César Alejandro, González-Romero, Sael, Aleman-Arce, Miguel Angel, Martín-Martínez, Eduardo San
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2019
SeriesCommunications in Computer and Information Science
Subjects
3D reconstruction
Blender
Diffused Optical Tomography
Microtomography
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Summary: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.
ISBN:9783030104474
3030104478
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-030-10448-1_15