Deformable template models and Markov chain Monte Carlo methods are used for analysing a space-time process of intracoronary ultrasound images in order to detect the artery contour and various other characteristics as a function of time.
This paper presents a graphical integrated modelling and performance-analysis tool based on deterministic network calculus (DNC) and implemented as an open source toolbox for the MATLAB/SimuLink environment. The paper introduces briefly the main concepts from network calculus and especially recent results for systems with cyclic dependencies, which appear… (More)
— Remote access to dynamically changing information elements is a required functionality for various network services, including routing and instances of context-sensitive networking. Three fundamentally different strategies for such access are investigated in this paper: (1) a reactive approach initiated by the requesting entity, and two versions of… (More)
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A statistical model is proposed for a sequence of images recorded from an ultra-sound examination of coronary arteries. By identifying objects in the image and describing their shape, orientation and motion by a low-dimensional vector of image characteristics, a substantial reduction in dimension is achieved. An algorithm is discussed for processing the… (More)
In this paper it is demonstrated how a nonparametric esti-mator of the stationary workload distribution function of the M/G/1-queue can be obtained by systematic sampling the workload process. Weak convergence results and bootstrap methods for empirical distribution functions for stationary associated sequences are used to derive asymptotic results and… (More)
Three cases of central pontine myelinolysis (CPM) including magnetic resonance (MRI), are presented and the literature describing the pathological physiological background for the appearance in MRI is reviewed. MRI is recommended as the method of choice in cases of suspected CPM.