Publication:
Component Model for Macroscopic Tumour Biomechanics

cris.virtual.author-orcid0000-0003-1776-5985
cris.virtual.author-orcid0000-0002-8390-4827
cris.virtualsource.author-orcid5f853b1a-c2cc-438e-a8cb-e87295c1061f
cris.virtualsource.author-orcid3f4f8423-772e-4491-bf0d-9ef5a7ebb52d
datacite.rightsopen.access
dc.contributor.authorAbler, Daniel
dc.contributor.authorBüchler, Philippe
dc.date.accessioned2025-01-08T20:10:55Z
dc.date.available2025-01-08T20:10:55Z
dc.date.issued2016-06
dc.description.abstractThe CHIC (Computational Horizons in Cancer) [1] project develops computational models for the cancer domain, as well as a secure infrastructure for data and model access, and reuse. It addresses challenges related to the development, validation and maintenance of multi-scale models by proposing the creation of complex disease models as composition of reusable component models. We present a versatile component model for the simulation of bio-mechanical aspects of macroscopic tumor growth. The model computes mechanical stresses and strains, resulting from tumor growth or shrinkage in a patient-specific anatomy, from a map of cancer cell concentration. In iterative coupled execution with other component models, its output can be used, for example, to guide the directionality of tumour expansion [2], or to simulate the effect of increased pressure on blood perfusion. Simulation of the bio-mechanic interaction relies on the finite element method (FEM); it is based on a hyper-elastic material model, as well as organ-specific boundary conditions and material properties. A pre-processing pipeline has been developed to automate the configuration process. In combination with automatic segmentation tools, this pipeline permits rapid generation of patient-specific FEM models for personalized simulations, including the assignment of suitable material parameters and boundary conditions from simple configuration options. Model and pre-processing pipeline are implemented using Open Source libraries and software packages (CGAL, VTK, FEBio). The model can be parametrised easily for different organs and body sites of interests; it has been applied to the simulation of kidney, lung and brain cancers in the context of CHIC.
dc.description.notePoster at Latsis Symposium on Personalised Medicine, Zürich, CH; \hrefhttps://doi.org/10.5281/zenodo.192618download link
dc.description.sponsorshipInstitut für chirurgische Technologien und Biomechanik (ISTB)
dc.identifier.doi10.7892/boris.95292
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/198890
dc.language.isoen
dc.relation.conferenceLATSIS SYMPOSIUM ETH ZURICH: PERSONALIZED MEDICINE -- CHALLENGES AND OPPORTUNITIES
dc.relation.organizationDCD5A442C258E17DE0405C82790C4DE2
dc.relation.organizationDCD5A442BCD5E17DE0405C82790C4DE2
dc.relation.projectComputational Horizons In Cancer (CHIC): Developing Meta- and Hyper-Multiscale Models and Repositories for In Silico Oncology
dc.relation.urlhttps://zenodo.org/record/192618
dc.subject.ddc500 - Science::570 - Life sciences; biology
dc.subject.ddc600 - Technology::610 - Medicine & health
dc.titleComponent Model for Macroscopic Tumour Biomechanics
dc.typeconference_item
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.conferenceDate27.-29.06.2016
oaire.citation.conferencePlaceZurich, CH
oairecerif.author.affiliationInstitut für chirurgische Technologien und Biomechanik (ISTB)
oairecerif.author.affiliationInstitut für chirurgische Technologien und Biomechanik (ISTB)
oairecerif.identifier.urlhttps://www.itis.ethz.ch/latsis2016/assets/Files-for-download/1606-latsis-program-final-web.pdf
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.description.ispublishedunpub
unibe.eprints.legacyId95292
unibe.refereedtrue
unibe.relation.legacyprojectComputational Horizons In Cancer (CHIC): Developing Meta- and Hyper-Multiscale Models and Repositories for In Silico Oncology
unibe.subtype.conferenceposter

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