An Experimental Model of Human Aortic Dissection.
dc.contributor.author | Schlicht Jr. , Martin S. | en_US |
dc.date.accessioned | 2011-06-10T18:21:36Z | |
dc.date.available | NO_RESTRICTION | en_US |
dc.date.available | 2011-06-10T18:21:36Z | |
dc.date.issued | 2011 | en_US |
dc.date.submitted | en_US | |
dc.identifier.uri | https://hdl.handle.net/2027.42/84613 | |
dc.description.abstract | Vascular diseases such as aortic dissections, aneurysms and stenosis are becoming frequent disorders in the industrialized world, and aortic diseases constitute an emerging share of these. An acute aortic dissection of the ascending aorta has an increasing mortality rate of 1% to 2% per hour after symptom onset. Determining whether an aortic dissection is at risk for rupture is not straightforward, and a better understanding of the role of thrombus, vessel geometry and wall components, entry tears, and other features of the diseased aorta is needed. The focus of this dissertation is to build an experimental bench top model of an aortic dissection which provides a fundamental knowledge of the flow characteristics and flap behavior under various physiological conditions. This model may help to emulate the forces and appearance of a dissection and explain the flow/pressure events that affect the stability or progression of a dissection. The operation of such a model will permit ranking the variables that determine the evolution of a dissection towards aneurysm or rupture. The mechanical properties of the polydimethylsiloxane (PDMS) material used to create experimental models of aortic dissections were investigated in the range of physiological parameters. This research may also be used as a benchmark to validate numerical models of aortic dissection. It also paves the road for researchers in the area of imaging to determine the elastic modulus of a living in-vivo arterial wall based on dynamic DICOM files in a non-invasive manner using high resolution CT scans. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Acute and Chronic Dissection Model | en_US |
dc.subject | Bench-top Model | en_US |
dc.subject | CT Imaging | en_US |
dc.subject | PDMS | en_US |
dc.subject | Equi-biaxial Tissue Testing | en_US |
dc.title | An Experimental Model of Human Aortic Dissection. | en_US |
dc.type | Thesis | en_US |
dc.description.thesisdegreename | PhD | en_US |
dc.description.thesisdegreediscipline | Biomedical Engineering | en_US |
dc.description.thesisdegreegrantor | University of Michigan, Horace H. Rackham School of Graduate Studies | en_US |
dc.contributor.committeemember | Berguer, Ramon | en_US |
dc.contributor.committeemember | Bull, Joseph L. | en_US |
dc.contributor.committeemember | Khanafer, Khalil M. | en_US |
dc.contributor.committeemember | Upchurch Jr, Gilbert R. | en_US |
dc.subject.hlbsecondlevel | Biomedical Engineering | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/84613/1/mschlich_1.pdf | |
dc.owningcollname | Dissertations and Theses (Ph.D. and Master's) |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.