dc.contributor.author |
Ho, Harvey |
en |
dc.contributor.author |
Suresh, Vinod |
en |
dc.contributor.author |
Kang, W |
en |
dc.contributor.author |
Cooling, Michael |
en |
dc.contributor.author |
Watton, PN |
en |
dc.contributor.author |
Hunter, Peter |
en |
dc.coverage.spatial |
United States |
en |
dc.date.accessioned |
2011-11-03T00:08:15Z |
en |
dc.date.accessioned |
2011-11-10T19:58:35Z |
en |
dc.date.issued |
2011-10 |
en |
dc.identifier.citation |
IEEE Transactions on Biomedical Engineering 58(10):2974-2977 Oct 2011 |
en |
dc.identifier.issn |
0018-9294 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/8894 |
en |
dc.description.abstract |
The genesis, growth, and rupture of intracranial aneurysms (IAs) involve physics at the molecular, cellular, blood vessel, and organ levels that occur over time scales ranging from seconds to years. Comprehensive mathematical modeling of IAs, therefore, requires the description and integration of events across length and time scales that span many orders of magnitude. In this letter, we outline a strategy for mulstiscale modeling of IAs that involves the construction of individual models at each relevant scale and their subsequent combination into an integrative model that captures the overall complexity of IA development. An example of the approach is provided using three models operating at different length and time scales: 1) shear stress induced nitric oxide production; 2) smooth muscle cell apoptosis; and 3) fluid-structure-growth modeling. A computational framework for combining them is presented. We conclude with a discussion of the advantages and challenges of the approach. |
en |
dc.language |
eng |
en |
dc.publisher |
IEEE |
en |
dc.relation.ispartofseries |
IEEE Transactions on Biomedical Engineering |
en |
dc.relation.replaces |
http://hdl.handle.net/2292/8586 |
en |
dc.relation.replaces |
2292/8586 |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/0018-9294/ |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.subject |
Apoptosis |
en |
dc.subject |
biomechanics |
en |
dc.subject |
cerebral aneurysms |
en |
dc.subject |
modeling |
en |
dc.subject |
multiscale |
en |
dc.subject |
signaling pathways |
en |
dc.subject |
CEREBRAL ANEURYSMS |
en |
dc.subject |
NITRIC-OXIDE |
en |
dc.subject |
APOPTOSIS |
en |
dc.subject |
GROWTH |
en |
dc.title |
Multiscale modeling of intracranial aneurysms: cell signaling, hemodynamics, and remodeling |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1109/TBME.2011.2160638 |
en |
pubs.issue |
10 |
en |
pubs.begin-page |
2974 |
en |
pubs.volume |
58 |
en |
dc.rights.holder |
Copyright: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
en |
dc.identifier.pmid |
21712155 |
en |
pubs.end-page |
2977 |
en |
pubs.publication-status |
Published |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Article |
en |
pubs.elements-id |
232772 |
en |
pubs.org-id |
Bioengineering Institute |
en |
pubs.org-id |
ABI Associates |
en |
pubs.org-id |
Engineering |
en |
pubs.org-id |
Engineering Science |
en |
pubs.org-id |
Science |
en |
pubs.org-id |
Science Research |
en |
pubs.org-id |
Maurice Wilkins Centre (2010-2014) |
en |
dc.identifier.eissn |
1558-2531 |
en |
pubs.record-created-at-source-date |
2011-10-25 |
en |
pubs.dimensions-id |
21712155 |
en |