title: Automated measurement and statistical modelling of elastic laminae in arteries.
abstract: Structural features of elastic laminae within arteries can provide vital information for both the mechanobiology and the biomechanics of the wall. In this paper, we propose, test and illustrate a new computer-based scheme for automated analysis of regional distributions of elastic laminae thickness, inter-lamellar distances and fragmentation furcation points (FPs) from standard histological images. Our scheme eliminates potential artefacts produced by tissue cutting, automatically aligns tissue according to physiologic orientations and performs cross-sectional measurements along radial directions. A statistical randomised complete block design and F test were used to assess the potential (non)-uniformity of lamellar thicknesses and separations along both radial and circumferential directions. Illustrative results for both normotensive and hypertensive thoracic porcine aorta revealed marked heterogeneity along the radial direction in nearly stress-free samples. Clearly, regional measurements can provide more detailed information about morphologic changes that cannot be gained by globally averaged evaluations alone. We also found that quantifying FP densities offers new information about potential elastin fragmentation, particularly in response to increased loading due to hypertension.
authors.affiliation: Department of Computer Science, Texas A&M University, College Station, TX, USA.
authors.forename: Hai
authors.initials: H
authors.lastname: Xu
authors.forename: Jin-Jia
authors.initials: JJ
authors.lastname: Hu
authors.forename: Jay D
authors.initials: JD
authors.lastname: Humphrey
authors.forename: Jyh-Charn
authors.initials: JC
authors.lastname: Liu
mesh_terms: D000465:Algorithms; D000818:Animals; D001158:Arteries / Q000502:physiology*; D001331:Automation; D004548:Elasticity; D015233:Models, Statistical; D013552:Swine