Premysl Krsek

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This article presents a comparison of several methods for local estimation of normal direction, principal curvatures and principal directions, given a range image as input. Here we take a range image to be a set of points in 3D space; we also need a definition for neighbourhoods. All methods we compare are based on local approximation of the range image by(More)
This paper deals with a scene pre-processing task - depth image segmentation. Efficiency and accuracy of several methods for depth map segmentation are explored. To meet real-time capable constraints, state-of-the-art techniques needed to be modified. Along with these modifications, new segmentation approaches are presented which aim at optimizing(More)
This paper presents the possibility of early detection and localization of epileptogenic focus in the iEEG (intracranial Electroencephalography) signal using a method based on multidimensional autoregressive models. The work provides the first results of the method in the iEEG signal, and discusses technical aspects in terms of the suitability of the(More)
The image segmentation plays an important role in medical image processing. Many segmentation algorithms exist. Most of them produce raster data which is not suitable for 3D geometrical modeling of human tissues. In this paper, a vector segmentation algorithm based on a 3D Delaunay triangulation is proposed. Tetrahedral mesh is used to divide a volumetric(More)
The article focuses on modification of traditional Marching cubes algorithm for medical applications. Main disadvantage of the traditional algorithm is size of models. A reduction process has been added to the MC to produce much smaller models. The reduction process is applied during the MC, after processing of each input data layer. Resulting models are(More)
The article deals with problematic of 3D tissues reconstruction in area of stomatology. 3D geometry models of teeth and jaw bones we have created based on input CT image data. The input discrete CT data have to be segmented by nearly automatic procedure with correction and verification. Creation of segmented tissue 3D geometry models is based on(More)
This article focuses on the problems of consultation virtual collaborative environment, which is designed to support 3D medical applications. This system allows loading CT/MR data from PACS system, segmentation and 3D models of tissues. It allows distant 3D consultations of the data between technicians and surgeons. System is designed as three-layer(More)
Karel Dedouch , Jaromír Horáček , Tomáš Vampola , Přemysl Kršek , Jan G. Švec d a Czech Technical University Prague, Faculty of Mechanical Engineering, Institute of Mechanics Technická 4, 16607 Prague 6, Czech Republic b Institute of Thermomechanics, Academy of Sciences, Dolejškova 5, 182 00 Prague 8, Czech Republic c Technical University Brno, Faculty of(More)
This paper is focused on the virtual collaborative consultation system which is intended for support of 3D geometrical modelling applications in the field of clinical human medicine. The system allows uploading the CT/MR data and 3D tissue geometry models (prepared in advance). The data define a 3D scene, which allows for viewing of the data and consulting(More)