Institute of Information Theory and Automation

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Mgr. Jiří Boldyš, Ph.D.

research fellow
Research interests: 
pattern recognition, surveillance cameras, image and video restoration, particularly inpainting, moment invariants, invariants to convolution, physics and image processing in nuclear medicine, wavelet transform, thin film image processing
Publications ÚTIA: 

CV - downloadable in pdf format. 


Supervised students:

Jiří Novotný, 2014
Analysis of results of particle phenomena modeling in computer games
Department of Software and Computer Science Education, Faculty of Mathematics and Physics, Charles University in Prague

Petr Bulušek, 2013
Visually realistic modeling of dynamic objects deformations
Mathematical Institute of Charles University
The present work deals with simulation methods for rigid bodies and deformable bodies. In the rst chapter you can nd research of some methods for simulation of rigid body physics with emphasis on method used in open source physics engine Bullet. In second chapter you can nd methods for simulation of deformable bodies, again with emphasis on Bullet physics engine. In last chapter model order reduction technique is presented. This method enables to reduce system of ordinary dierential equations. These equations come for example from applying nite element method to partial dierential equations describing motion of elastic body. The technique is studied on bar truss systems.

Jan Vyhnánek, 2012
Signal complexity evaluation in the processing of functional magnetic resonance imaging
Department of Software and Computer Science Education, Faculty of Mathematics and Physics, Charles University in Prague
Functional magnetic resonance imaging has been recently the most common tool for examining the neural activity in human and animals. The goal of a typical data-mining challenge is the localisation of brain areas activated during a cognitive task which is usually performed using a linear model or correlation methods. For this purpose several authors have proposed the use of methods evaluating signal complexity which could possibly overcome some of the shortcomings of the standards methods due to their independence on a priori knowledge of data characteristics. This work explains possibilities of using such methods including aspects of their conguration and it proposes an evaluation of performance of the methods applied on simulated data following expected biological characteristics.The results of the evaluation of performance showed little advantage of these methods over the standard ones in cases when the standard methods were possible to apply. However, some of the methods evaluating signal complexity were found useful for determining the regularity of signals which is a feature that cannot be assessed by the standard methods. Optimal parameters of the methods evaluating signal regularity were determined on simulated data and nally the methods were applied on the data examining emotional processing of subjects with bipolar disease. It has been shown that examining the signal regularity can point at areas with possibly worsened emotional processing in bipolar pacients.

Michal Srna, 2011
Registration of NM and CT images with low-dose CT-based refinement
Faculty of Biomedical Engineering, Czech Technical University in Prague
Functional SPECT image indicates activity distribution of radiopharmaceutical, which is being accumulated i.e. in malign tumors and their metastasis. In anatomical CT image they may not be easy distinguishable from healthy tissue.
We have access to the multimodal imaging system SPECT/CT, which provides functional SPECT image simultaneously with anatomical low-dose CT image with low information density. Both of images have identical geometry and are already registered. Diagnostic CT imaging system is also available providing anatomical image with high information density.
This work deals with description, implementation and successful testing of elastic registration method thin-plate splines for low-dose CT and diagnostic CT image registration. Low-dose CT image is used only for transformation calculation, which is consequently applied on geometrically identical SPECT image.
Image fusion of registered SPECT and diagnostic CT acquired by implemented SW provides better localization possibilities of pathological processes indicated by SPECT image.

Jiří Dvořák, 2010
"Best diploma thesis in Mathematics in 2009/2010" awarded by the Dean of the Faculty of Mathematics and Physics, Charles University in Prague
Influence of injection dose and body parameters on PET image quality by means of Monte Carlo simulations
Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University in Prague
Positron emission tomography (PET) is an imaging technique allowing to determine radiotracer distribution in a patient’s body. This work reviews basic principles of PET imaging. It also uses the random field theory to detect locations with increased radiotracer uptake. This procedure is tested on a collection of simulated PET images.
The aim of this work is to describe the quality of simulated PET images in terms of both the patient’s physical parameters and the amount of applied radiopharmaceutical. The relations are used to provide curves of constant quality determining the amount of radiopharmaceutical needed to achieve desired quality of the resulting images. The resulting curves are compared with the formula currently used in medical practice.

Jan Kratochvíla, 2009 
First prize in the competition of ABRA Software, category Business Intelligence
Time Analysis of 3D Data in Nuclear Medicine
Department of Physical Electronics, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague
This Master’s Thesis deals with comparison of two functional volumes in nuclear medicine. Their differences are visualized fused with an anatomical image in
order to find epileptic seizures foci in the brain.
The theoretical part contains a description of modalities used (PET, SPECT, and MRI), epilepsy, the ITK and FLTK toolkits, and the method for image registration.
An analysis of four published methods dealing with the topic was carried out. They are SISCOM, B.R.A.S.I.L., BRASS, and Zubal’s work. All methods are based on the same framework – input data are registered and then the functional studies are normalized and subtracted voxel by voxel. Differences are finally visualized fused with the anatomical study.
Based on this analysis, a new program called Diagnomed was implemented. Its main goal was simplicity of use for clinical workers. Diagnomed was tested in cooperation with a physician on four real patients and provided expected results.

PDF icon CV_Boldys_2018_EN.pdf162.68 KB
2018-11-10 23:07

Person detail

Duration: 2014 - 2017
The aim of the proposed project is the development of a new ultrasonic equipment (US), allowing early detection of breast cancer and reduce the need to use the ionizing radiation during examinations. The aim is to eliminate the disadvantages of current ultrasonic systems in the diagnosis of breast cancer, which hinders its use.



Ing. Hynek Walner