Histomechanical modeling of thewall of abdominal aortic aneurysm
2016 (English)In: Structure-Based Mechanics of Tissues and Organs, Springer, 2016, 57-78 p.Chapter in book (Other academic)Text
Vascular diseases are already the leading cause of death in the industrialized countries and many of the associated risk factors are increasing. A multidisciplinary approach including biomechanics is needed to better understand and more effectively treat these diseases. Specifically, constitutive modeling is critical in understanding the biomechanics of the vascular wall and to uncover pathologies like Abdominal Aortic Aneurysms (AAAs), i.e. local dilatations of the infrarenal aorta. Aneurysms are formed through irreversible pathological remodeling of the vascular wall and integrating this biological process in the constitutive description could improve our current understanding of aneurysm disease. It might also increase the predictability of biomechanical simulations towards augmenting clinical decisions. The present chapter develops histomechanical constitutive models for the AAA wall according to Lanir’s pioneering approach. Consequently, macroscopic properties were derived through an integration of distributed fibers, where collagen was regarded as the most important protein of the aneurysmatic Extra Cellular Matrix (ECM). Collagen organization was quantified through Polarized Light Microscopy (PLM) of picrosirius red stained histological slices from tissue samples harvested during elective open AAA repair. This histological information was either directly integrated in the constitutive description or used to qualitatively validate the predicted remodeling of the AAA wall. Specifically, two descriptions for the AAA wall were used, where collagen was regarded either as a purely passive entity of the ECM or as an active entity. The suggested constitutive models were able to successfully capture salient features of the AAA wall, but a rigorous validation against detailed experimental data was beyond the scope of this chapter.
Place, publisher, year, edition, pages
Springer, 2016. 57-78 p.
Bioinformatics and Systems Biology
IdentifiersURN: urn:nbn:se:kth:diva-188237DOI: 10.1007/978-1-4899-7630-7_4ScopusID: 2-s2.0-84960221310ISBN: 9781489976307 (ISBN); 9781489976291 (ISBN)OAI: oai:DiVA.org:kth-188237DiVA: diva2:935947
QC 201606132016-06-132016-06-092016-06-13Bibliographically approved