lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Brain tumor modeling: glioma growth and interaction with chemotherapy
Tehran University of Medical Sciences, Iran.
Tehran University of Medical Sciences, Iran.
Tehran University of Medical Sciences, Iran.
Univiversity of Tehran, Iran.
Show others and affiliations
2011 (English)In: Proc. SPIEĀ 8285, International Conference on Graphic and Image Processing (ICGIP 2011), SPIE - International Society for Optical Engineering, 2011, 82851MConference paper, Published paper (Refereed)
Abstract [en]

In last decade increasingly mathematical models of tumor growths have been studied, particularly on solid tumors which growth mainly caused by cellular proliferation. In this paper we propose a modified model to simulate the growth of gliomas in different stages. Glioma growth is modeled by a reaction-advection-diffusion. We begin with a model of untreated gliomas and continue with models of polyclonal glioma following chemotherapy. From relatively simple assumptions involving homogeneous brain tissue bounded by a few gross anatomical landmarks (ventricles and skull) the models have been expanded to include heterogeneous brain tissue with different motilities of glioma cells in grey and white matter. Tumor growth is characterized by a dangerous change in the control mechanisms, which normally maintain a balance between the rate of proliferation and the rate of apoptosis (controlled cell death). Result shows that this model closes to clinical finding and can simulate brain tumor behavior properly.

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2011. 82851M
National Category
Medical Image Processing Cancer and Oncology
Identifiers
URN: urn:nbn:se:lnu:diva-55806DOI: 10.1117/12.913432OAI: oai:DiVA.org:lnu-55806DiVA: diva2:956015
Conference
2011 International Conference on Graphic and Image Processing, September 30, 2011
Available from: 2016-08-29 Created: 2016-08-29 Last updated: 2016-08-29Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full texthttp://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1197849
Medical Image ProcessingCancer and Oncology

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 27 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf