National Repository of Grey Literature 25 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
Modelling in perfusion MR imaging
Válková, Hana ; Jiřík, Radovan (referee) ; Kratochvíla, Jiří (advisor)
This thesis deals with the magnetic resonance perfusion data analysis especially DCEMRI. In its introduction the thesis describes the problem of DCE-MRI data aquisition, the necessity of appropriate contrast agent and basic principles of perfusion analysis. The dynamic behavior of contrast agent vascular distribution can be described by arterial input function (AIF). The shape of the curves close to the area of interest is affected by dispersion which is called vascular transport function (VTF) due to the distribution of the contrast agent to the region of interest. Finally the tissue residual function describes system behavior of tissue. The practical part of the diploma thesis is aimed at implementation of model curves AIF, VTF and TRF. Furthermore, a simulation program was created for easy manipulation with introduced models moreover the program is used to perform an estimation of perfusion parameters based on nonblind deconvolution. The method is validated on synthetic data and illustrated on clinical data of the renal cell carcinoma patient.
Advanced Methods of Perfusion Analysis in MRI
Macíček, Ondřej ; Frollo, Ivan (referee) ; Mikl, Michal (referee) ; Jiřík, Radovan (advisor)
This dissertation deals with quantitative perfusion analysis of MRI contrast-enhanced image time sequences. It focuses on two so far separately used methods -- Dynamic contrast-enhanced MRI (DCE-MRI) and Dynamic susceptibility contrast MRI (DSC-MRI). The common problem of such perfusion analyses is the unreliability of perfusion parameters estimation. This penalizes usage of these unique techniques on a regular basis. The presented methods are intended to improve these drawbacks, especially the problems with quantification in DSC in case of contrast agent extravasation and instability of the deconvolution process in DCE using advanced pharmacokinetic models. There are a few approaches in literature combining DCE and DSC to estimate new parameters of the examined tissue, namely the relaxivity of the vascular and of the interstitial space. Originally, in this scheme, the 2CXM DCE model was used. Here various models for DCE analysis are tested keeping in mind the DCE-DSC combination. The ATH model was found to perform better in this setting compared to 2CXM. Finally, the ATH model was used in alternating DCE-DSC optimization algorithm and then in a truly fully simultaneous DCE-DSC. The processing was tested using simulated and in-vivo data. According to the results, the proposed simultaneous algorithm performs better in comparison with sequential DCE-DSC, unleashing full potential of perfusion analysis using MRI.
Scaling of arterial input function in DCE-MRI
Holeček, Tomáš ; Kolář, Radim (referee) ; Kratochvíla, Jiří (advisor)
Perfusion magnetic resonance imaging is modern diagnostic method used mainly in oncology. In this method, contrast agent is injected to the subject and then is continuously monitored the progress of its concentration in the affected area in time. Correct determination of the arterial input function (AIF) is very important for perfusion analysis. One possibility is to model AIF by multichannel blind deconvolution but the estimated AIF is necessary to be scaled. This master´s thesis is focused on description of scaling methods and their influence on perfussion parameters in dependence on used model of AIF in different tissues.
Automatic Processing of DCE-MRI Data
Karela, Jiří ; Mézl, Martin (referee) ; Jiřík, Radovan (advisor)
This master thesis deals with the issue of automatic processing of DCE-MRI data. It describes some important procedures and methods. The work is divided into theoretical part, practical part and conclusion. The theoretical part mainly describes some methods, on the basis of which the practical part was then solved. However, another theory related to the topic is also described here. The practical part then builds on the theory and solves the problem of automatic detection of arterial voxels and the concentration of contrast agent in the arteries. The algorithms are tested on rat brain data obtained from DCE-MRI. The conclusion serves as a summary and evaluation of our results. It also serves as a reflection on the implementation of our methods.
Comparison of Pharmacokinetic models for DCE-MRI
Bačovská, Kristýna ; Mézl, Martin (referee) ; Jiřík, Radovan (advisor)
This thesis deals with perfusion analysis using DCE-MRI (Dynamic contrast-enhanced magnetic resonance imaging). DCE-MRI is commonly used for microcirculation evaluation mainly in oncology and in recent years also in cardiology. The theoretical overview focuses on the issue of pharmacokinetic modeling and the estimation of perfusion parameters using selected models. The experimental part describes research software PerfLab and then it is aimed at the proposed program for synthetic data generation. Simulated data obtained under ideal conditions and in the presence of noise were used to compare models for the accuracy and reliability of DCE-MRI analysis.
DCE-MRI Acquisition Methods
Kudlička, Petr ; Kratochvíla, Jiří (referee) ; Jiřík, Radovan (advisor)
In my master’s thesis I describe basics of magnetic resonance measurement. I focus on methods of DCE-MRI with T1 weighting image. I mention some basic contrast agents which are used in MRI imaging. I describe some of pulse sequences which are used in experimental part of my thesis. There I measure contrast in the sample. The measurement is performed in accordance with an acquisition protocol I have proposed. The experiment part was realized on 1.5 T magnet at Masaryk Oncological Institute in Brno. I improved software which is use to research of MR IR TurboFLASH’s data and made software which is use to evaluation perfuse analysis ours measured sequences. At the end I made a discussion about gained facts.
Comparison of the preclinical DCE-MRI perfusion techniques
Minsterová, Alžběta ; Jiřík, Radovan (referee) ; Macíček, Ondřej (advisor)
This diploma thesis deals with DCE-MRI (Dynamic Contrast-Enhanced Magnetic Resonance Imaging) thus one of the contrast magnetic resonance imaging methods. It describes the principle of conventional continuous DCE-MRI, which uses single bolus of contrast agent and further it focuses on the dual bolus contrast agent techniques, especially the interleaved acquisition. The graphical interface for processing Bruker systems data was made. Synthetic data were used to evaluate the influence of this method on the perfusion parameters estimation. Simulations proved that the further the second bolus is from the first one, the better results are. Simulations of acquisition interruption did not lead to the clear result. However, two statements, which are expected to lead to as good estimation of perfusion parameters as possible, were formulated
Automatic selection of the arterial input function for DCE-MRI method
Šenkeřík, Vojtěch ; Jiřík, Radovan (referee) ; Macíček, Ondřej (advisor)
This thesis is aim to automatic detection of arterial pixels with use a method DCE-MRI. The first part of the essay occupy with literary search of theory. The second part of the essay introduce the four algorithms for detection of arterial pixels.
Comparison of Pharmacokinetic Models for Quantification of Blood-Brain-Barrier Opening Induced by Focused Ultrasound
Hývlová, Denisa ; Vitouš, Jiří ; Jiřík, Radovan
This paper focuses on quantification of blood-brainbarrier(BBB) opening induced by focused ultrasound. Dynamiccontrast-enhanced MRI (DCE-MRI) with two different pharmacokineticmodels, 2CX and ETK, is used to evaluate BBB opening.The ETK model is commonly used in BBB-opening studies. Wepropose use of a more advanced model, 2CX, that provides moreaccurate estimation of the BBB permeability. The accuracy of themodels is compared using simulated and real data. The resultsdemonstrate similar performance of the 2CX and ETK models inthe brain region with a highly permeable BBB, but the ETK hasproven unable to correctly detect low level of permeabilization.Thus, the 2CX model is more suitable for the studies of BBBpermeabilitydynamics.
Simulation of Perfusometric Data
Hývlová, Denisa ; Mézl, Martin (referee) ; Jiřík, Radovan (advisor)
This diploma thesis focused on the simulation of perfusion MRI data. The introduction describes standard perfusion imaging methods, DCE and DSC, and the quantitative analysis of perfusion. In the following section, simulation of the perfusion MRI data and the structure of the provided simulation software are described. This software was reworked, and new methods and parameters were implemented. The key product of this work is a simulation study of focused ultrasound-induced blood-brain barrier opening, comparing the pharmacokinetic models used in this application and the accuracy of their permeability estimates. The results of the simulation study were compared with real-dataset results.

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