Simulating cancer radiotherapy on a multi-level basis: Biology, oncology and image processing

Dionysiou, DD; Stamatakos, GS; Marias, K

dc.contributor.author	Dionysiou, DD	en
dc.contributor.author	Stamatakos, GS	en
dc.contributor.author	Marias, K	en
dc.date.accessioned	2014-03-01T02:44:57Z
dc.date.available	2014-03-01T02:44:57Z
dc.date.issued	2007	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32048
dc.subject	Glioblastoma	en
dc.subject	In silico oncology	en
dc.subject	Modelling	en
dc.subject	Radiotherapy	en
dc.subject.other	Computer simulation	en
dc.subject.other	Image processing	en
dc.subject.other	Oncology	en
dc.subject.other	Optimization	en
dc.subject.other	Tumors	en
dc.subject.other	Biocomplexity	en
dc.subject.other	Cellular events	en
dc.subject.other	Glioblastoma	en
dc.subject.other	Tumor growth	en
dc.subject.other	Radiotherapy	en
dc.title	Simulating cancer radiotherapy on a multi-level basis: Biology, oncology and image processing	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-73321-8_65	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-73321-8_65	en
heal.publicationDate	2007	en
heal.abstract	Tumour growth and response to radiotherapeutic schemes is a markedly multiscale process which by no means can be reduced to only molecular or cellular events. Within this framework a new scientific area, i.e. in silico oncology has been proposed in order to address the previously mentioned hypercomplex process at essentially all levels of biocomplexity. This paper focuses on the case of imageable glioblastoma mulriforme response to radiotherapy and presents the basics of an essentially top-down modelling approach, aiming at an improved undestanding of cancer and at a patient-specific optimization of treatment. © Springer-Verlag Berlin Heidelberg 2007.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-540-73321-8_65	en
dc.identifier.volume	4561 LNCS	en
dc.identifier.spage	569	en
dc.identifier.epage	575	en