Karol Kuczyński

Magnetic Resonance Image Classification Using Fractal Analysis

Fractal analysis is a reasonable choice in applications where natural objects are dealt with. Fractal dimension is an essential measure of fractal properties. Differential box-counting method was used for fractal dimension estimation of radiological brain images. It has been documented in this paper that this measure can be used for automatic classification of normal and pathological cases.

DCE-MRI Breast Image Registration for Tumour Diagnostics

A framework for automatic registration of magnetic resonance breast images is presented. 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 contrast agent causes modification of MR (magnetic resonance) signal over time. Its analysis provides information on tissue properties, including tumour status, that is not available with the regular MRI. A patient should not move during the whole imaging session, but it is not always feasible. Unintentional movements result with misalignment of consecutive image sequences. It makes further analysis hardly possible. The proposed registration framework, consisting of B-spline transformation, mean squares metric and LBFGSB optimizer is expected to solve this problem.

Information-theory-based registration and segmentation of medical images

Growing popularity of non invasive medical techniques makes accurate and reliable diagnostics based on image data more and more important. It is necessary to implement modern, highly automated image processing techniques. Information theory and statistics provide a means to create such systems. In this paper we discuss application of entropy and mutual information in segmentation and registration of real world medical images.

The Perception of Humanoid Robot by Human

The article presents results of experiments which test acceptance level of a humanoid robot. We stated that in most cases people have tendencies to anthropomorphize machines, especially humanoid ones. Acting like this is a result of a social bias, so characteristic for our specie. We conducted two experiments in which participants during a poll were in a room with a robot observer, with active face and sound tracking implemented. By analyse of post review questionnaire and time parameters from video recording, we could point out that in some cases participants observed robot’s behaviours which had not taken place, but are quite natural for a human.

Problems of Infrared and Visible-Light Images Automatic Registration

In this paper the problem of infrared and visible-light images registration is analysed. The authors propose a registration procedure that could be used for a wide range of applications. It is based on B-spline transformation and mutual information similarity measure.

Application of image registration techniques in breast dynamic contrast-enhanced magnetic resonance imaging

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. If a patient unintentionally changes position during the examination, then the consecutive image series are not properly aligned and their analysis is 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.

Registration of CT and MRI brain images

Due to great value of the time constant of the integrator circuit, a hardware defined PWM (Pulse Width Modulation) signal makes it possible to build a Digital to Analog Converter (DAC) characterized by a relatively long response time. An attempt at creating the software defined PWM signal leads to increased response time of the DAC converter with a coefficient several hundred times longer than its hardware equivalent. Reorganization of the PWM signal allows for its software synthesis, in that the response time of the DAC converter is only several times larger than its classical equivalent.In the paper we present short profile of different compositions of many-layered applications. We compare speed and stability of the different sets of applications. We describe a configuration which can be used to create a server of scientific information. The application consists of MySQL database management system, http server (Apache) and PHP language. All operate in the Linux environment.

Versatile Remote Access Environment for Computer Networking Laboratory

In this paper the integrated remote access system for a computer networking laboratory is presented. It can be used for scientific, training or engineering purposes. Many features of the proposed solutions are superior to commercially available products.

Image Registration Tuning for DCE-MRI Breast Imaging

DCE-MRI is a novel medical imaging technique for breast cancer diagnostics. Unintentional patient’s movements during imaging session result with misalignments between consecutive image series. Their analysis is then problematic. The problem can be solved by application of image registration procedure. A system for DCE-MRI breast image registration, using B-spline transformation has been created. The paper presents work on its testing and tuning, to improve both performance and accuracy.

Emulation of the Double-X Cinematography Negative Film

Article presents work-flow which gives possibility to emulate characteristics of the one of the most popular black and white film negative used in cinematography. Presented procedure is based on examination of the source material and technical data available from manufacturer and could be easily used for preparation characteristics of other available stocks.