3D Visualisation of Tumour-Induced Angiogenesis Using the CUDA Programming Model and OpenGL Interoperability

Paul M. Darbyshire

doi:doi:10.11648/j.jctr.20150305.11

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3D Visualisation of Tumour-Induced Angiogenesis Using the CUDA Programming Model and OpenGL Interoperability

Paul M. Darbyshire

Published in Journal of Cancer Treatment and Research (Volume 3, Issue 5)

Received: 29 September 2015 Accepted: 24 October 2015 Published: 10 November 2015

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Abstract

In this paper we solve a complex discrete-continuous model of tumour-induced angiogenesis using an explicit time-stepping FDM and simultaneously simulate the model dynamics in 3D. The interoperability between the CUDA programming model and the graphics hardware through OpenGL allows us to generate dynamic interactive 3D realistic visualisations. We use CUDA for the complex parallel calculations and deploy OpenGL for on-the-fly 3D visualisation of the numerical simulations. Clearly, being able to link the numerical results of complex mathematical models to interactive 3D visualisations that can literally update instantaneously to varying model parameters, should provide an invaluable tool for clinical physicians and research scientists. We also give an overview of current medical imaging techniques for studying microcirculatory and blood flow dynamics at the cellular level and indicate how the results presented here could offer potential for future developments in this area.

Published in	Journal of Cancer Treatment and Research (Volume 3, Issue 5)
DOI	10.11648/j.jctr.20150305.11
Page(s)	53-65
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

3D Cancer Modelling, 3D Visualisation, Medical Imaging, High Performance Computing, Compute Unified Device Architecture (CUDA), Graphical Processing Unit (GPU), Open Graphics Library (OpenGL)

References

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APA Style

Paul M. Darbyshire. (2015). 3D Visualisation of Tumour-Induced Angiogenesis Using the CUDA Programming Model and OpenGL Interoperability. Journal of Cancer Treatment and Research, 3(5), 53-65. https://doi.org/10.11648/j.jctr.20150305.11

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ACS Style

Paul M. Darbyshire. 3D Visualisation of Tumour-Induced Angiogenesis Using the CUDA Programming Model and OpenGL Interoperability. J. Cancer Treat. Res. 2015, 3(5), 53-65. doi: 10.11648/j.jctr.20150305.11

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AMA Style

Paul M. Darbyshire. 3D Visualisation of Tumour-Induced Angiogenesis Using the CUDA Programming Model and OpenGL Interoperability. J Cancer Treat Res. 2015;3(5):53-65. doi: 10.11648/j.jctr.20150305.11

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@article{10.11648/j.jctr.20150305.11,
  author = {Paul M. Darbyshire},
  title = {3D Visualisation of Tumour-Induced Angiogenesis Using the CUDA Programming Model and OpenGL Interoperability},
  journal = {Journal of Cancer Treatment and Research},
  volume = {3},
  number = {5},
  pages = {53-65},
  doi = {10.11648/j.jctr.20150305.11},
  url = {https://doi.org/10.11648/j.jctr.20150305.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jctr.20150305.11},
  abstract = {In this paper we solve a complex discrete-continuous model of tumour-induced angiogenesis using an explicit time-stepping FDM and simultaneously simulate the model dynamics in 3D. The interoperability between the CUDA programming model and the graphics hardware through OpenGL allows us to generate dynamic interactive 3D realistic visualisations. We use CUDA for the complex parallel calculations and deploy OpenGL for on-the-fly 3D visualisation of the numerical simulations. Clearly, being able to link the numerical results of complex mathematical models to interactive 3D visualisations that can literally update instantaneously to varying model parameters, should provide an invaluable tool for clinical physicians and research scientists. We also give an overview of current medical imaging techniques for studying microcirculatory and blood flow dynamics at the cellular level and indicate how the results presented here could offer potential for future developments in this area.},
 year = {2015}
}

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TY  - JOUR
T1  - 3D Visualisation of Tumour-Induced Angiogenesis Using the CUDA Programming Model and OpenGL Interoperability
AU  - Paul M. Darbyshire
Y1  - 2015/11/10
PY  - 2015
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AB  - In this paper we solve a complex discrete-continuous model of tumour-induced angiogenesis using an explicit time-stepping FDM and simultaneously simulate the model dynamics in 3D. The interoperability between the CUDA programming model and the graphics hardware through OpenGL allows us to generate dynamic interactive 3D realistic visualisations. We use CUDA for the complex parallel calculations and deploy OpenGL for on-the-fly 3D visualisation of the numerical simulations. Clearly, being able to link the numerical results of complex mathematical models to interactive 3D visualisations that can literally update instantaneously to varying model parameters, should provide an invaluable tool for clinical physicians and research scientists. We also give an overview of current medical imaging techniques for studying microcirculatory and blood flow dynamics at the cellular level and indicate how the results presented here could offer potential for future developments in this area.
VL  - 3
IS  - 5
ER  -

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Author Information

Paul M. Darbyshire

Computational Biophysics Group, Algenet Cancer Research, Nottingham, UK

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APA Style

Paul M. Darbyshire. (2015). 3D Visualisation of Tumour-Induced Angiogenesis Using the CUDA Programming Model and OpenGL Interoperability. Journal of Cancer Treatment and Research, 3(5), 53-65. https://doi.org/10.11648/j.jctr.20150305.11

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ACS Style

Paul M. Darbyshire. 3D Visualisation of Tumour-Induced Angiogenesis Using the CUDA Programming Model and OpenGL Interoperability. J. Cancer Treat. Res. 2015, 3(5), 53-65. doi: 10.11648/j.jctr.20150305.11

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AMA Style

Paul M. Darbyshire. 3D Visualisation of Tumour-Induced Angiogenesis Using the CUDA Programming Model and OpenGL Interoperability. J Cancer Treat Res. 2015;3(5):53-65. doi: 10.11648/j.jctr.20150305.11

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@article{10.11648/j.jctr.20150305.11,
  author = {Paul M. Darbyshire},
  title = {3D Visualisation of Tumour-Induced Angiogenesis Using the CUDA Programming Model and OpenGL Interoperability},
  journal = {Journal of Cancer Treatment and Research},
  volume = {3},
  number = {5},
  pages = {53-65},
  doi = {10.11648/j.jctr.20150305.11},
  url = {https://doi.org/10.11648/j.jctr.20150305.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jctr.20150305.11},
  abstract = {In this paper we solve a complex discrete-continuous model of tumour-induced angiogenesis using an explicit time-stepping FDM and simultaneously simulate the model dynamics in 3D. The interoperability between the CUDA programming model and the graphics hardware through OpenGL allows us to generate dynamic interactive 3D realistic visualisations. We use CUDA for the complex parallel calculations and deploy OpenGL for on-the-fly 3D visualisation of the numerical simulations. Clearly, being able to link the numerical results of complex mathematical models to interactive 3D visualisations that can literally update instantaneously to varying model parameters, should provide an invaluable tool for clinical physicians and research scientists. We also give an overview of current medical imaging techniques for studying microcirculatory and blood flow dynamics at the cellular level and indicate how the results presented here could offer potential for future developments in this area.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - 3D Visualisation of Tumour-Induced Angiogenesis Using the CUDA Programming Model and OpenGL Interoperability
AU  - Paul M. Darbyshire
Y1  - 2015/11/10
PY  - 2015
N1  - https://doi.org/10.11648/j.jctr.20150305.11
DO  - 10.11648/j.jctr.20150305.11
T2  - Journal of Cancer Treatment and Research
JF  - Journal of Cancer Treatment and Research
JO  - Journal of Cancer Treatment and Research
SP  - 53
EP  - 65
PB  - Science Publishing Group
SN  - 2376-7790
UR  - https://doi.org/10.11648/j.jctr.20150305.11
AB  - In this paper we solve a complex discrete-continuous model of tumour-induced angiogenesis using an explicit time-stepping FDM and simultaneously simulate the model dynamics in 3D. The interoperability between the CUDA programming model and the graphics hardware through OpenGL allows us to generate dynamic interactive 3D realistic visualisations. We use CUDA for the complex parallel calculations and deploy OpenGL for on-the-fly 3D visualisation of the numerical simulations. Clearly, being able to link the numerical results of complex mathematical models to interactive 3D visualisations that can literally update instantaneously to varying model parameters, should provide an invaluable tool for clinical physicians and research scientists. We also give an overview of current medical imaging techniques for studying microcirculatory and blood flow dynamics at the cellular level and indicate how the results presented here could offer potential for future developments in this area.
VL  - 3
IS  - 5
ER  -

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