In silico radiation oncology: Combining novel simulation algorithms with current visualization techniques

Stamatakos, GS; Dionysiou, DD; Zacharaki, EI; Mquravliansky, NA; Nikita, KS; Uzunoglu, NK

dc.contributor.author	Stamatakos, GS	en
dc.contributor.author	Dionysiou, DD	en
dc.contributor.author	Zacharaki, EI	en
dc.contributor.author	Mquravliansky, NA	en
dc.contributor.author	Nikita, KS	en
dc.contributor.author	Uzunoglu, NK	en
dc.date.accessioned	2014-03-01T01:17:58Z
dc.date.available	2014-03-01T01:17:58Z
dc.date.issued	2002	en
dc.identifier.issn	0018-9219	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14736
dc.subject	Cancer	en
dc.subject	Fractionation	en
dc.subject	In silica radiation oncology	en
dc.subject	Modeling	en
dc.subject	Monte Carlo	en
dc.subject	Radiation therapy	en
dc.subject	Simulation	en
dc.subject	Tumor growth	en
dc.subject	Visualization	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	3-D simulation models	en
dc.subject.other	In silica radiation oncology	en
dc.subject.other	Treatment planning system	en
dc.subject.other	Tumor growth	en
dc.subject.other	Computer simulation	en
dc.subject.other	Fractionation	en
dc.subject.other	Mathematical models	en
dc.subject.other	Medical imaging	en
dc.subject.other	Monte Carlo methods	en
dc.subject.other	Patient treatment	en
dc.subject.other	Silica	en
dc.subject.other	Tumors	en
dc.subject.other	Virtual reality	en
dc.subject.other	Visualization	en
dc.subject.other	Radiotherapy	en
dc.title	In silico radiation oncology: Combining novel simulation algorithms with current visualization techniques	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/JPROC.2002.804685	en
heal.identifier.secondary	http://dx.doi.org/10.1109/JPROC.2002.804685	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	The concept of in silica radiation oncology is clarified in this paper. A brief literature review points out the principal domains in which experimental, mathematical, and three-dimensional (3-D) computer simulation models of tumor growth and response to radiation therapy have been developed. Two paradigms of 3-D simulation models developed by our research group are concisely presented. The first one refers to the in vitro development and radiation response of a tumor spheroid whereas the second one refers to the fractionated radiation response of a clinical tumor in vivo based on the patient's imaging data. In each case, a description of the salient points of the corresponding algorithms and the visualization techniques used takes place. Specific applications of the models to experimental and clinical cases are described and the behavior of the models is two- and three-dimensionally visualized by using virtual reality techniques. Good qualitative agreement with experimental and clinical observations strengthens the applicability of the models to real situations. A protocol for further testing and adaptation is outlined. Therefore, an advanced integrated patient specific decision support and spatio-temporal treatment planning system is expected to emerge after the completion of the necessary experimental tests and clinical evaluation. © 2002 IEEE.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	Proceedings of the IEEE	en
dc.identifier.doi	10.1109/JPROC.2002.804685	en
dc.identifier.isi	ISI:000179204700007	en
dc.identifier.volume	90	en
dc.identifier.issue	11	en
dc.identifier.spage	1764	en
dc.identifier.epage	1777	en