3D image reconstruction system for cancerous tumors analysis based on diffuse optical tomography with blender

Marco Antonio Ramírez-Salinas, Luis Alfonso Villa-Vargas, Neiel Israel Leyva-Santes, César Alejandro Hernández-Calderón, Sael González-Romero, Miguel Angel Aleman-Arce, Eduardo San Martín-Martínez

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearch

Abstract

© Springer Nature Switzerland AG 2019. 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.
Original languageAmerican English
Title of host publication3D image reconstruction system for cancerous tumors analysis based on diffuse optical tomography with blender
Pages157-166
Number of pages140
ISBN (Electronic)9783030104474
DOIs
StatePublished - 1 Jan 2019
EventCommunications in Computer and Information Science -
Duration: 1 Jan 2019 → …

Publication series

NameCommunications in Computer and Information Science
Volume948
ISSN (Print)1865-0929

Conference

ConferenceCommunications in Computer and Information Science
Period1/01/19 → …

Fingerprint

Optical tomography
Image reconstruction
tumor
tomography
Tumors
Image acquisition
image processing
optical property
cancer
near infrared
Image processing
Photons
Optical properties
Cells
Tissue
Infrared radiation
software
analysis
Graphics processing unit
tissue

Cite this

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 3D image reconstruction system for cancerous tumors analysis based on diffuse optical tomography with blender (pp. 157-166). (Communications in Computer and Information Science; Vol. 948). https://doi.org/10.1007/978-3-030-10448-1_15
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. / 3D image reconstruction system for cancerous tumors analysis based on diffuse optical tomography with blender. 3D image reconstruction system for cancerous tumors analysis based on diffuse optical tomography with blender. 2019. pp. 157-166 (Communications in Computer and Information Science).
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Ramírez-Salinas, MA, Villa-Vargas, LA, Leyva-Santes, NI, Hernández-Calderón, CA, González-Romero, S, Aleman-Arce, MA & Martín-Martínez, ES 2019, 3D image reconstruction system for cancerous tumors analysis based on diffuse optical tomography with blender. in 3D image reconstruction system for cancerous tumors analysis based on diffuse optical tomography with blender. Communications in Computer and Information Science, vol. 948, pp. 157-166, Communications in Computer and Information Science, 1/01/19. https://doi.org/10.1007/978-3-030-10448-1_15

3D image reconstruction system for cancerous tumors analysis based on diffuse optical tomography with blender. / 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.

3D image reconstruction system for cancerous tumors analysis based on diffuse optical tomography with blender. 2019. p. 157-166 (Communications in Computer and Information Science; Vol. 948).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearch

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Ramírez-Salinas MA, Villa-Vargas LA, Leyva-Santes NI, Hernández-Calderón CA, González-Romero S, Aleman-Arce MA et al. 3D image reconstruction system for cancerous tumors analysis based on diffuse optical tomography with blender. In 3D image reconstruction system for cancerous tumors analysis based on diffuse optical tomography with blender. 2019. p. 157-166. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-030-10448-1_15