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

doi:10.1007/978-3-030-10448-1_15

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

Centro de Investigación en Computación (CIC)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	Supercomputing - 9th International Conference, ISUM 2018, Revised Selected Papers
Editores	Isidoro Gitler, Jaime Klapp, Andrei Tchernykh, Moises Torres
Editorial	Springer Verlag
Páginas	157-166
Número de páginas	10
ISBN (versión impresa)	9783030104474
DOI	https://doi.org/10.1007/978-3-030-10448-1_15
Estado	Publicada - 2019
Evento	9th International Conference on Supercomputing, ISUM 2018 - Mérida, México Duración: 5 mar. 2018 → 9 mar. 2018

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	948
ISSN (versión impresa)	1865-0929

Conferencia

Conferencia	9th International Conference on Supercomputing, ISUM 2018
País/Territorio	México
Ciudad	Mérida
Período	5/03/18 → 9/03/18

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1007/978-3-030-10448-1_15

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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. En I. Gitler, J. Klapp, A. Tchernykh, & M. Torres (Eds.), Supercomputing - 9th International Conference, ISUM 2018, Revised Selected Papers (pp. 157-166). (Communications in Computer and Information Science; Vol. 948). Springer Verlag. https://doi.org/10.1007/978-3-030-10448-1_15

Ramírez-Salinas, Marco Antonio ; Villa-Vargas, Luis Alfonso ; Leyva-Santes, Neiel Israel et al. / 3D image reconstruction system for cancerous tumors analysis based on diffuse optical tomography with blender. Supercomputing - 9th International Conference, ISUM 2018, Revised Selected Papers. editor / Isidoro Gitler ; Jaime Klapp ; Andrei Tchernykh ; Moises Torres. Springer Verlag, 2019. pp. 157-166 (Communications in Computer and Information Science).

@inproceedings{a03d0af35fb347e896a6bbb223e1f640,

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

abstract = "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{\textquoteright}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.",

keywords = "3D reconstruction, Blender, Diffused optical tomography, Microtomography",

author = "Ram{\'i}rez-Salinas, {Marco Antonio} and Villa-Vargas, {Luis Alfonso} and Leyva-Santes, {Neiel Israel} and Hern{\'a}ndez-Calder{\'o}n, {C{\'e}sar Alejandro} and Sael Gonz{\'a}lez-Romero and Aleman-Arce, {Miguel Angel} and Mart{\'i}n-Mart{\'i}nez, {Eduardo San}",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 9th International Conference on Supercomputing, ISUM 2018 ; Conference date: 05-03-2018 Through 09-03-2018",

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doi = "10.1007/978-3-030-10448-1_15",

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publisher = "Springer Verlag",

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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. En I Gitler, J Klapp, A Tchernykh & M Torres (eds.), Supercomputing - 9th International Conference, ISUM 2018, Revised Selected Papers. Communications in Computer and Information Science, vol. 948, Springer Verlag, pp. 157-166, 9th International Conference on Supercomputing, ISUM 2018, Mérida, México, 5/03/18. 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 et al.
Supercomputing - 9th International Conference, ISUM 2018, Revised Selected Papers. ed. / Isidoro Gitler; Jaime Klapp; Andrei Tchernykh; Moises Torres. Springer Verlag, 2019. p. 157-166 (Communications in Computer and Information Science; Vol. 948).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - 3D image reconstruction system for cancerous tumors analysis based on diffuse optical tomography with blender

AU - Ramírez-Salinas, Marco Antonio

AU - Villa-Vargas, Luis Alfonso

AU - Leyva-Santes, Neiel Israel

AU - Hernández-Calderón, César Alejandro

AU - González-Romero, Sael

AU - Aleman-Arce, Miguel Angel

AU - Martín-Martínez, Eduardo San

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019.

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - 3D reconstruction

KW - Blender

KW - Diffused optical tomography

KW - Microtomography

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M3 - Contribución a la conferencia

SN - 9783030104474

T3 - Communications in Computer and Information Science

SP - 157

EP - 166

BT - Supercomputing - 9th International Conference, ISUM 2018, Revised Selected Papers

A2 - Gitler, Isidoro

A2 - Klapp, Jaime

A2 - Tchernykh, Andrei

A2 - Torres, Moises

PB - Springer Verlag

T2 - 9th International Conference on Supercomputing, ISUM 2018

Y2 - 5 March 2018 through 9 March 2018

ER -

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. En Gitler I, Klapp J, Tchernykh A, Torres M, editores, Supercomputing - 9th International Conference, ISUM 2018, Revised Selected Papers. Springer Verlag. 2019. p. 157-166. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-10448-1_15

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

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