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Optimization of tomographic station GE phoenix adjustment for plastic components including metal parts
Starý, Přemysl ; Petrilak, Michal (referee) ; Zikmund, Tomáš (advisor)
X-ray computed tomography is a tool mostly used in a medical diagnosis. A development of the technique and an improvement an in accuracy of tomographic systems enabled an utilization of the tomography in industrial applications. The tomography allows non-destructive analysis of inner structure. There is a negative influence of a reconstructed area if a low-absorption and high-absorption materials are scanned together. This influence makes analysis of the inner structure impossible. There are two options to eliminate these artifacts. We can use algorithms to reduce metal artifacts, or we can try to avoid them when performing the scan. This bachelor thesis focuses on an optimization of tomographic station adjustment for the plastic components including metal parts. The effect of an usage of X-ray filter or collimator and effect of a sample orientation on data quality will be observed. We use tools like contrast, noise and edge sharpness to evaluate data quality.
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Image reconstruction form projections
Gargulák, Dušan ; Kolář, Radim (referee) ; Jiřík, Radovan (advisor)
This semestral work deals with the principle of the image reconstruction from projections, which is the basis for the modern method of the RTG computed tomography (CT RTG). The work is above all focused on the Simple BackProjection and Filtered BackProjection. In the first part there are outlined theoretical principles, which explain Radon Transform and inverse Radon Transform. There is also cleared up the process of the Simple BackProjection. The next part of the work contains the practical aplications of Radon Transform and Simple BackProjection, which was made in MATLAB. There is described the script for the projection generating and the script for the Simple BackProjection process. As the last item there is annotated the graphic interface for the mentioned aplications.
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The Three-Dimensional Digital Imaging Methods for X-ray Computed Tomography and Digital Holographic Microscopy
Kvasnica, Lukáš ; Číp, Ondřej (referee) ; Štarha, Pavel (referee) ; Chmelík, Radim (advisor)
This dissertation thesis deals with the methods for processing image data in X-ray microtomography and digital holographic microscopy. The work aims to achieve significant acceleration of algorithms for tomographic reconstruction and image reconstruction in holographic microscopy by means of optimization and the use of massively parallel GPU. In the field of microtomography, the new GPU (graphic processing unit) accelerated implementations of filtered back projection and back projection filtration of derived data are presented. Another presented algorithm is the orientation normalization technique and evaluation of 3D tomographic data. In the part related to holographic microscopy, the individual steps of the complete image processing procedure are described. This part introduces the new orignal technique of phase unwrapping and correction of image phase damaged by the occurrence of optical vortices in the wrapped image phase. The implementation of the methods for the compensation of the phase deformation and for tracking of cells is then described. In conclusion, there is briefly introduced the Q-PHASE software, which is the complete bundle of all the algorithms necessary for the holographic microscope control, and holographic image processing.
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CT X-ray quantitative evaluation
Novotný, Lukáš ; Malínský, Miloš (referee) ; Drastich, Aleš (advisor)
X-Ray Computed Tomography is irreplaceable medical imaging system. Quantitative evaluation is day to day routine used for clean run of this imaging system. The master’s thesis is focused on quantitative evaluation of first and third generation X-Ray CT. First of all is about subjective and objective evaluation of space and energetic resolution. Space resolution is evaluated in space and frequency domain. Energetic resolution is represent by low contrast resolution method. Application “Kvantitativní hodnocení kvality CT RTG zobrazení” created for this thesis is used for creation of reconstruction image and quantitative evaluation. This application was created with consideration of its usage in subjects about image processing. The master’s thesis contains results of quantitative evaluation X-Ray CT created with this application and proposal of lab work.
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Image reconstruction form projections
Gargulák, Dušan ; Kolář, Radim (referee) ; Jiřík, Radovan (advisor)
This semestral work deals with the principle of the image reconstruction from projections, which is the basis for the modern method of the RTG computed tomography (CT RTG). The work is above all focused on the Simple BackProjection and Filtered BackProjection. In the first part there are outlined theoretical principles, which explain Radon Transform and inverse Radon Transform. There is also cleared up the process of the Simple BackProjection. The next part of the work contains the practical aplications of Radon Transform and Simple BackProjection, which was made in MATLAB. There is described the script for the projection generating and the script for the Simple BackProjection process. As the last item there is annotated the graphic interface for the mentioned aplications.
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The Three-Dimensional Digital Imaging Methods for X-ray Computed Tomography and Digital Holographic Microscopy
Kvasnica, Lukáš ; Číp, Ondřej (referee) ; Štarha, Pavel (referee) ; Chmelík, Radim (advisor)
This dissertation thesis deals with the methods for processing image data in X-ray microtomography and digital holographic microscopy. The work aims to achieve significant acceleration of algorithms for tomographic reconstruction and image reconstruction in holographic microscopy by means of optimization and the use of massively parallel GPU. In the field of microtomography, the new GPU (graphic processing unit) accelerated implementations of filtered back projection and back projection filtration of derived data are presented. Another presented algorithm is the orientation normalization technique and evaluation of 3D tomographic data. In the part related to holographic microscopy, the individual steps of the complete image processing procedure are described. This part introduces the new orignal technique of phase unwrapping and correction of image phase damaged by the occurrence of optical vortices in the wrapped image phase. The implementation of the methods for the compensation of the phase deformation and for tracking of cells is then described. In conclusion, there is briefly introduced the Q-PHASE software, which is the complete bundle of all the algorithms necessary for the holographic microscope control, and holographic image processing.
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CT X-ray quantitative evaluation
Novotný, Lukáš ; Malínský, Miloš (referee) ; Drastich, Aleš (advisor)
X-Ray Computed Tomography is irreplaceable medical imaging system. Quantitative evaluation is day to day routine used for clean run of this imaging system. The master’s thesis is focused on quantitative evaluation of first and third generation X-Ray CT. First of all is about subjective and objective evaluation of space and energetic resolution. Space resolution is evaluated in space and frequency domain. Energetic resolution is represent by low contrast resolution method. Application “Kvantitativní hodnocení kvality CT RTG zobrazení” created for this thesis is used for creation of reconstruction image and quantitative evaluation. This application was created with consideration of its usage in subjects about image processing. The master’s thesis contains results of quantitative evaluation X-Ray CT created with this application and proposal of lab work.
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Optimization of tomographic station GE phoenix adjustment for plastic components including metal parts
Starý, Přemysl ; Petrilak, Michal (referee) ; Zikmund, Tomáš (advisor)
X-ray computed tomography is a tool mostly used in a medical diagnosis. A development of the technique and an improvement an in accuracy of tomographic systems enabled an utilization of the tomography in industrial applications. The tomography allows non-destructive analysis of inner structure. There is a negative influence of a reconstructed area if a low-absorption and high-absorption materials are scanned together. This influence makes analysis of the inner structure impossible. There are two options to eliminate these artifacts. We can use algorithms to reduce metal artifacts, or we can try to avoid them when performing the scan. This bachelor thesis focuses on an optimization of tomographic station adjustment for the plastic components including metal parts. The effect of an usage of X-ray filter or collimator and effect of a sample orientation on data quality will be observed. We use tools like contrast, noise and edge sharpness to evaluate data quality.
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