Multiscale modeling for image analysis of brain tumor studies

Bauer, S; May, C; Dionysiou, D; Stamatakos, G; Buchler, P; Reyes, M

dc.contributor.author	Bauer, S	en
dc.contributor.author	May, C	en
dc.contributor.author	Dionysiou, D	en
dc.contributor.author	Stamatakos, G	en
dc.contributor.author	Buchler, P	en
dc.contributor.author	Reyes, M	en
dc.date.accessioned	2014-03-01T02:11:30Z
dc.date.available	2014-03-01T02:11:30Z
dc.date.issued	2012	en
dc.identifier.issn	00189294	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29919
dc.subject	Brain tumor	en
dc.subject	glioma	en
dc.subject	image analysis	en
dc.subject	tumor biomechanics	en
dc.subject	tumor growth modeling	en
dc.subject.other	Atlas-based segmentation	en
dc.subject.other	Brain atlas	en
dc.subject.other	Brain images	en
dc.subject.other	Brain tumors	en
dc.subject.other	Cellular levels	en
dc.subject.other	Eulerian approach	en
dc.subject.other	Finite element computations	en
dc.subject.other	glioma	en
dc.subject.other	Growth simulation	en
dc.subject.other	Image-based modeling	en
dc.subject.other	Large-scale deformation	en
dc.subject.other	MR images	en
dc.subject.other	Multi-scale Modeling	en
dc.subject.other	Multiphysics model	en
dc.subject.other	Multiscales	en
dc.subject.other	Nonrigid registration	en
dc.subject.other	Patient images	en
dc.subject.other	Registration algorithms	en
dc.subject.other	Tissue deformations	en
dc.subject.other	Tumor growth	en
dc.subject.other	tumor growth modeling	en
dc.subject.other	Tumor patient	en
dc.subject.other	Tumor progressions	en
dc.subject.other	Algorithms	en
dc.subject.other	Biomechanics	en
dc.subject.other	Brain	en
dc.subject.other	Cell proliferation	en
dc.subject.other	Computer simulation	en
dc.subject.other	Deformation	en
dc.subject.other	Image analysis	en
dc.subject.other	Image segmentation	en
dc.subject.other	Tumors	en
dc.subject.other	Medical imaging	en
dc.subject.other	algorithm	en
dc.subject.other	article	en
dc.subject.other	biomechanics	en
dc.subject.other	brain tumor	en
dc.subject.other	cell proliferation	en
dc.subject.other	finite element analysis	en
dc.subject.other	human	en
dc.subject.other	image analysis	en
dc.subject.other	mathematical computing	en
dc.subject.other	model	en
dc.subject.other	nuclear magnetic resonance imaging	en
dc.subject.other	prognosis	en
dc.subject.other	simulation	en
dc.subject.other	tumor growth	en
dc.subject.other	Algorithms	en
dc.subject.other	Brain	en
dc.subject.other	Brain Neoplasms	en
dc.subject.other	Computer Simulation	en
dc.subject.other	Glioma	en
dc.subject.other	Humans	en
dc.subject.other	Image Enhancement	en
dc.subject.other	Image Interpretation, Computer-Assisted	en
dc.subject.other	Magnetic Resonance Imaging	en
dc.subject.other	Models, Biological	en
dc.subject.other	Reproducibility of Results	en
dc.subject.other	Sensitivity and Specificity	en
dc.title	Multiscale modeling for image analysis of brain tumor studies	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/TBME.2011.2163406	en
heal.identifier.secondary	http://dx.doi.org/10.1109/TBME.2011.2163406	en
heal.identifier.secondary	5970097	en
heal.publicationDate	2012	en
heal.abstract	Image-based modeling of tumor growth combines methods from cancer simulation and medical imaging. In this context, we present a novel approach to adapt a healthy brain atlas to MR images of tumor patients. In order to establish correspondence between a healthy atlas and a pathologic patient image, tumor growth modeling in combination with registration algorithms is employed. In a first step, the tumor is grown in the atlas based on a new multiscale, multiphysics model including growth simulation from the cellular level up to the biomechanical level, accounting for cell proliferation and tissue deformations. Large-scale deformations are handled with an Eulerian approach for finite element computations, which can operate directly on the image voxel mesh. Subsequently, dense correspondence between the modified atlas and patient image is established using nonrigid registration. The method offers opportunities in atlas-based segmentation of tumor-bearing brain images as well as for improved patient-specific simulation and prognosis of tumor progression. © 2011 IEEE.	en
heal.journalName	IEEE Transactions on Biomedical Engineering	en
dc.identifier.doi	10.1109/TBME.2011.2163406	en
dc.identifier.volume	59	en
dc.identifier.issue	1	en
dc.identifier.spage	25	en
dc.identifier.epage	29	en