Publication: Component Model for Macroscopic Tumour Biomechanics
cris.virtual.author-orcid | 0000-0003-1776-5985 | |
cris.virtual.author-orcid | 0000-0002-8390-4827 | |
cris.virtualsource.author-orcid | 5f853b1a-c2cc-438e-a8cb-e87295c1061f | |
cris.virtualsource.author-orcid | 3f4f8423-772e-4491-bf0d-9ef5a7ebb52d | |
datacite.rights | open.access | |
dc.contributor.author | Abler, Daniel | |
dc.contributor.author | Büchler, Philippe | |
dc.date.accessioned | 2025-01-08T20:10:55Z | |
dc.date.available | 2025-01-08T20:10:55Z | |
dc.date.issued | 2016-06 | |
dc.description.abstract | The 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.note | Poster at Latsis Symposium on Personalised Medicine, Zürich, CH; \hrefhttps://doi.org/10.5281/zenodo.192618download link | |
dc.description.sponsorship | Institut für chirurgische Technologien und Biomechanik (ISTB) | |
dc.identifier.doi | 10.7892/boris.95292 | |
dc.identifier.uri | https://boris-portal.unibe.ch/handle/20.500.12422/198890 | |
dc.language.iso | en | |
dc.relation.conference | LATSIS SYMPOSIUM ETH ZURICH: PERSONALIZED MEDICINE -- CHALLENGES AND OPPORTUNITIES | |
dc.relation.organization | DCD5A442C258E17DE0405C82790C4DE2 | |
dc.relation.organization | DCD5A442BCD5E17DE0405C82790C4DE2 | |
dc.relation.project | Computational Horizons In Cancer (CHIC): Developing Meta- and Hyper-Multiscale Models and Repositories for In Silico Oncology | |
dc.relation.url | https://zenodo.org/record/192618 | |
dc.subject.ddc | 500 - Science::570 - Life sciences; biology | |
dc.subject.ddc | 600 - Technology::610 - Medicine & health | |
dc.title | Component Model for Macroscopic Tumour Biomechanics | |
dc.type | conference_item | |
dspace.entity.type | Publication | |
dspace.file.type | text | |
oaire.citation.conferenceDate | 27.-29.06.2016 | |
oaire.citation.conferencePlace | Zurich, CH | |
oairecerif.author.affiliation | Institut für chirurgische Technologien und Biomechanik (ISTB) | |
oairecerif.author.affiliation | Institut für chirurgische Technologien und Biomechanik (ISTB) | |
oairecerif.identifier.url | https://www.itis.ethz.ch/latsis2016/assets/Files-for-download/1606-latsis-program-final-web.pdf | |
unibe.contributor.role | creator | |
unibe.contributor.role | creator | |
unibe.description.ispublished | unpub | |
unibe.eprints.legacyId | 95292 | |
unibe.refereed | true | |
unibe.relation.legacyproject | Computational Horizons In Cancer (CHIC): Developing Meta- and Hyper-Multiscale Models and Repositories for In Silico Oncology | |
unibe.subtype.conference | poster |
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