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)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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’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 language	English
Title of host publication	Supercomputing - 9th International Conference, ISUM 2018, Revised Selected Papers
Editors	Isidoro Gitler, Jaime Klapp, Andrei Tchernykh, Moises Torres
Publisher	Springer Verlag
Pages	157-166
Number of pages	10
ISBN (Print)	9783030104474
DOIs	https://doi.org/10.1007/978-3-030-10448-1_15
State	Published - 2019
Event	9th International Conference on Supercomputing, ISUM 2018 - Mérida, Mexico Duration: 5 Mar 2018 → 9 Mar 2018

Publication series

Name	Communications in Computer and Information Science
Volume	948
ISSN (Print)	1865-0929

Conference

Conference	9th International Conference on Supercomputing, ISUM 2018
Country/Territory	Mexico
City	Mérida
Period	5/03/18 → 9/03/18

Keywords

3D reconstruction
Blender
Diffused optical tomography
Microtomography

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

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

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 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",

year = "2019",

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

language = "Ingl{\'e}s",

isbn = "9783030104474",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "157--166",

editor = "Isidoro Gitler and Jaime Klapp and Andrei Tchernykh and Moises Torres",

booktitle = "Supercomputing - 9th International Conference, ISUM 2018, Revised Selected Papers",

address = "Alemania",

}

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 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, Mexico, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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

UR - http://www.scopus.com/inward/record.url?scp=85059892017&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-10448-1_15

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

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. In Gitler I, Klapp J, Tchernykh A, Torres M, editors, 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

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this