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Showing papers by "Reinhold Orglmeister published in 2000"


Journal ArticleDOI
TL;DR: This article shows how a fully implantable stand-by device for measuring intracorporal pressure and temperature under normal conditions can be implemented, consisting of a sensor element combined with a transcutaneous telemetric interface.
Abstract: This article shows how a fully implantable stand-by device for measuring intracorporal pressure and temperature under normal conditions can be implemented, consisting of a sensor element combined with a transcutaneous telemetric interface. One further point of interest is automatic event recognition in order to capture special signal components in an emergency situation. Therefore, signal processing and waveform analysis are exigent, first to observe the measured signal in realtime on a portable unit, and second to process the data offline on a stationary unit.

39 citations


Proceedings ArticleDOI
06 Jun 2000
TL;DR: The results show that the new algorithm is well-suited to replace time consuming manual segmentation and measurements for 3D visualization of stents and the automated quantification of the degree of in- stent restenosis.
Abstract: This paper presents a new method for automated detection of stents. The method consists of three sequential steps. At first, a 3D to 2D projection procedure is applied to find the global stent location. A local search strategy was designed, using a combination of characteristic image features to extract the sampling point candidates of the stent in each of the original cross-sectional images. Finally, the preselected points are accepted or rejected depending on a set of a priori criteria for position and shape. Using the resulting stent points, geometrical parameters of the stent are automatically calculated and a wire frame model is generated for 3D surface reconstruction. Thus, in combination with our algorithms for automated detection of the lumen cross-sectional area, the new method is an essential component for 3D visualization of stents and the automated quantification of the degree of in- stent restenosis. The evaluation is based on in vitro and in vivo recordings. The results show that the new algorithm is well-suited to replace time consuming manual segmentation and measurements.© (2000) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.