title: Calibration of parameters for cardiovascular models with application to arterial growth.
abstract: We present a computational framework for the calibration of parameters describing cardiovascular models with a focus on the application of growth of abdominal aortic aneurysms (AAA). The growth rate in this sort of pathology is considered a critical parameter in the risk management and is an essential indicator for the assessment of surveillance intervals. Parameters describing growth of AAAs are not measurable directly and need to be estimated from available data often given by medical imaging technologies. Registration procedures often applied in standard workflows of parameter identification to extract the image encoded information are a source of significant systematic error. The concept of surface currents provides means to effectively avoid this source of errors by establishing a mathematical framework to compare surface information, directly accessible from image data. By utilizing this concept it is possible to inversely estimate growth parameters using sophisticated numerical models of AAAs from measurements available as surface information. In this work we present a framework to obtain spatial distributions of parameters governing growth of arterial tissue, and we show how the use of surface currents can significantly improve the results. We further present the application to patient specific follow-up data resulting in a spatial map of volumetric growth rates enabling, for the first time, prediction of further AAA expansion.
authors: Mechanics and High Performance Computing Group, Technische Universität München, Parkring 35, Garching bei, 85748, München.
authors: Sebastian
authors: S
authors: Kehl
authors: Mechanics and High Performance Computing Group, Technische Universität München, Parkring 35, Garching bei, 85748, München.
authors: Michael W
authors: MW
authors: Gee
mesh_terms: D017544:Aortic Aneurysm, Abdominal / Q000473:pathology*; D001158:Arteries / Q000473:pathology*; D002138:Calibration; D006801:Humans; D008955:Models, Cardiovascular; D011379:Prognosis
keywords: abdominal aortic aneurysms, arterial growth, data assimilation, parameter identification, surface currents