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Modelling of the ultrasound intensity in contrast imaging
Lacko, Jiří ; Jiřík, Radovan (referee) ; Kolář, Radim (advisor)
There are several mathematical compartment models developed in this thesis. Their purpose is to compute the concentration of ultrasonographic contrast agents in different compartments (simple two-compartment model, compartment model of liver and chain of N compartments). Based on these concentraitions the change of image brightness is set and the indicator dilution Curve is computed. Each of models is influenced by bolus of contrast agents, blood flow and decay of injected contrast agents.
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Digital radiography- image processing simulation
Lamoš, Martin ; Kolář, Radim (referee) ; Drastich, Aleš (advisor)
This paper describes a MATLAB application with the main purpose of the simulation of noise components and noise elimination methods of Digital Radiography. The main parts of simulator are the model of a scene, procedures for loading the noise components to image data and methods for image processing. Various methods are employed depending on the type of noise. Subtraction techniques are used for the elimination of structural noise. The physical noise suppression is obtained using several methods of cumulation and Pixel Shift is used to reduce motion artifacts caused by the existence of moving noise. The techniques of superposition highlight the areas of interest in an image. Included are also auxiliary procedures for simulator running and presentation of final data. The model and the presented application can be used mainly for educational purposes as a powerful didactic tool.
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X-ray projection imaging- model of structural noise suppression
Lamoš, Martin ; Kolář, Radim (referee) ; Drastich, Aleš (advisor)
The aim of this task is to create a program that will simulate noise components and methods of their elimination for X-ray projection imaging with focus on structural noise. MATLAB has chosen as the environment for the implementation. Some of the toolboxes shipped with MATLAB has also been used, mainly the Image Processing Toolbox. The methods and elements are implemented as independent functions, which are highly configurable through the setting of the input parameters. All of functions are covered in a custom application. The model is become user friendly and it is suitable teaching support as a laboratory task. The methods it is possible to use for the structural noise suppression are: temporal image subtraction, temporal integration, matched filtration and recursive filtration. There are three methods of cumulation for physical noise suppression. With proper settings it is possible to suppress also the periodical motional noise suppression.
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X-ray projection imaging- model of structural noise suppression
Lamoš, Martin ; Kolář, Radim (referee) ; Drastich, Aleš (advisor)
The aim of this task is to create a program that will simulate noise components and methods of their elimination for X-ray projection imaging with focus on structural noise. MATLAB has chosen as the environment for the implementation. Some of the toolboxes shipped with MATLAB has also been used, mainly the Image Processing Toolbox. The methods and elements are implemented as independent functions, which are highly configurable through the setting of the input parameters. All of functions are covered in a custom application. The model is become user friendly and it is suitable teaching support as a laboratory task. The methods it is possible to use for the structural noise suppression are: temporal image subtraction, temporal integration, matched filtration and recursive filtration. There are three methods of cumulation for physical noise suppression. With proper settings it is possible to suppress also the periodical motional noise suppression.
|
|
|
Digital radiography- image processing simulation
Lamoš, Martin ; Kolář, Radim (referee) ; Drastich, Aleš (advisor)
This paper describes a MATLAB application with the main purpose of the simulation of noise components and noise elimination methods of Digital Radiography. The main parts of simulator are the model of a scene, procedures for loading the noise components to image data and methods for image processing. Various methods are employed depending on the type of noise. Subtraction techniques are used for the elimination of structural noise. The physical noise suppression is obtained using several methods of cumulation and Pixel Shift is used to reduce motion artifacts caused by the existence of moving noise. The techniques of superposition highlight the areas of interest in an image. Included are also auxiliary procedures for simulator running and presentation of final data. The model and the presented application can be used mainly for educational purposes as a powerful didactic tool.
|
|
|
Modelling of the ultrasound intensity in contrast imaging
Lacko, Jiří ; Jiřík, Radovan (referee) ; Kolář, Radim (advisor)
There are several mathematical compartment models developed in this thesis. Their purpose is to compute the concentration of ultrasonographic contrast agents in different compartments (simple two-compartment model, compartment model of liver and chain of N compartments). Based on these concentraitions the change of image brightness is set and the indicator dilution Curve is computed. Each of models is influenced by bolus of contrast agents, blood flow and decay of injected contrast agents.
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