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1
Content available Remote Access Environment for Computer Networking Laboratory: Challenges and Solutions
Kuczyński K., Stęgierski R., Suszyński W., Królica D.
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
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2016
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Vol. 16, no. 1
21--29
EN
A variety of network management systems is commercially available. However, their applicability for computer networking laboratories that are used for scientific, educational or engineering purposes (in particular, as a test environment for network-based software engineering) is limited. Also dedicated remote access systems do not offer enough flexibility. Major challenges are discussed in the paper. Most of the proposed solutions have been already implemented and tested.
2
Content available Analysis of surface myoelectric signals by linear prediction method
Suszyński W., Kuniszyk-Jóźkowiak W., Jaszczuk J., Codello I., Stęgierski R., Kuczyński K.
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
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2016
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Vol. 16, no. 1
62--70
EN
The article presents a proposal to use linear prediction method for a quick analysis of surface myoelectric (EMG) signals. The spectra obtained with the linear prediction (LP) and Fourier methods were compared. The LP method allows for a precise determination of the location and amplitude of the spectrum maximum and observation of changes in muscle tension and contraction phases. EMG spectra of brachial biceps during flexion and extension of the forearm by four adults were analyzed. The optimal width of the time window for the averaging of motor unit action potentials that allows for the observation of changes during contraction was established. It has been found that maximum spectrum during flexion has a significantly higher frequency and amplitude than during the extension of the forearm.
3
Content available Application of image registration techniques in dynamic magnetic resonance imaging of breast
Kuczyński K., Siczek M., Stęgierski R.
Journal of Medical Informatics & Technologies
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2011
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Vol. 17
275--280
EN
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a relatively new, promising technique for breast cancer diagnostics. A few series of images of the same body region are rapidly acquired before, during and after injection of paramagnetic contrast agent. Propagation of the contrast agent causes modification of MR signal over time. Its analysis provides information on tissue properties, including tumour status, that is not available with the regular MRI. Unintentional patient's movements during the examination result with incorrect alignment of the consecutive image series. Their analysis is then difficult, inaccurate or even impossible. The purpose of this work is to design a registration scheme that could be applied to solve the problem in a routine manner, in standard hospital conditions. The proposed registration framework, composed of B-spline transformation, mean squares metric and LBFGSB optimizer, is able to produce satisfactory results within reasonable time.
4
Content available Brain atrophy progress detection in MR images
Kuczyński K., Stęgierski R., Siczek M.
Journal of Medical Informatics & Technologies
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2010
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Vol. 16
187--192
EN
Alzheimer's, Parkinson's and other dementive diseases currently pose an important social problem. High brain atrophy level is one of the most important symptoms of these disorders, but it also may result from normal ageing processes. The purpose of the presented research is to design methods that support detection of dementia symptoms in radiological images. The proposed framework consists of image registration procedure, brain extraction and tissue segmentation and the exact analysis of image series (fractal and volumetric properties).
5
Content available Workflow for creation of the model human head for forensic face reconstruction
Stęgierski R, Mikołajczak P., Kuczuński K., Suszyński W., Stęgierska D.
Journal of Medical Informatics & Technologies
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2009
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Vol. 13
163--167
EN
Article presents proposal of unified workflow for creation models of human head for usage in deformational method of forensic face reconstruction. Preparation of each model is made in two stages First one is creation of traditional dowel-clay reconstruction, second is in short triangle mesh preparation as a result of digitization. Article should be start point for discussion how obtain best results not only at computer science level but also anthropological. As a long time result we want to create database of standard reconstruction models with main races and genders at least.
6
Content available Laplacian mesh smoothing for tetrahedra based volume visualization
Stęgierski R., Mikołajczak P.
Journal of Medical Informatics & Technologies
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2002
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Vol. 4
MT11--18
EN
In this paper an improved method for three-dimensional (3-D) surface reconstruction from computed tomography slices is presented. Marching cubes (MC) is a popular method for extracting iso-surfaces from discrete (3-D) data. We implemented a simplification of marching cubes, commonly known as marching tetrahedrons (MT).
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