Motion estimation and compensation for interventional cardiovascular image reconstruction [Elektronische Ressource] = Schätzung und Korrektur von Bewegung für die interventionelle Bildrekonstruktion von Herzgefäßen / vorgelegt von Christopher Rohkohl

Motion Estimation and Compensationfor Interventional CardiovascularImage ReconstructionSchätzung und Korrektur vonBewegung für die interventionelleBildrekonstruktion von HerzgefäßenDer Technischen Fakultät derUniversität Erlangen–Nürnbergzur Erlangung des GradesDOKTOR–INGENIEURvorgelegt vonChristopher RohkohlErlangen — 2011Als Dissertation genehmigt von derTechnischen Fakultät derUniversität Erlangen-NürnbergTag der Einreichung: 01.09.2010Tag der Promotion: 22.12.2010Dekan: Prof. Dr.-Ing. habil. R. GermanBerichterstatter: Prof. Dr.-Ing. J. HorneggerK. Taguchi, Ph.D., Assist. Prof.AbstractThe minimal invasive interventional treatment of cardiac diseases is of high impor-tance in the modern society. Catheter-based procedures are becoming increasinglycomplex and novel tools for planning and guiding the interventions are required.In recent years intraprocedural 3-D imaging has found its way into the clinics.Based on 2-D X-ray images from C-arm systems a 3-D image with high spatialresolution can be computed. Cardiac vessels are small and moving fast and thuspose a problem to standard reconstruction algorithms. In this thesis, the issuesof existing approaches are investigated and novel algorithms are developed thatmitigate todays problems in terms of image quality, runtime and assumptions onthe cardiac motion. One major contribution is the development of an optimizedECG-gated reconstruction algorithm compensating for non-periodic motion.