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X-ray computed tomography of mouse embryo
Šejnohová, Marie ; Walek, Petr (referee) ; Kolář, Radim (advisor)
The aim of this semestral thesis is to compare the possibilities of available micro-CT systems. Theoretic part of this thesis there deals with possibilities of staining soft tissues and embryos because of enhancement the contrast of micro-CT images. Here follows a description of sources X-ray and detectors of available micro-CT systems. In practice there was realized the staining of embryo in cooperation with Department of histology and embryology in Brno. Then followed a measuring on FSI in Brno, ČVUT in Prague and synchrotron Elettra in Italy. In semestral thesis are described of the thesis there are compared the micro-CT systems and results of measuring embryos by means of presented systems and results are compared.The best results were obtained on micro-CT in Brno, where X-ray tube and flat panel detector were used. This images were used for a segmentation of cartilage olfactory system by means of 3D region growing. From results they were created 3D models for comparison with a manually segmented model. A less accurate results were obtain with the semi-automatic segmentation but this method isn’t too time-consuming.
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Removal of Anesthesia Tube from Pediatric CT Data
Šejnohová, Marie ; Čmiel, Vratislav (referee) ; Walek, Petr (advisor)
The goal of this semestral thesis is to detect and subsequently to eliminate an anaesthesiological tube from a pediatric CT data using a Hough transform. It describes particular edge detectors based on the first and the second differences. In addition, it explains a principle of the edge detection using to this detectors. Then there is talked about the Hough Transform where is described a parametric space for lines and circles detection. Here follows a description of image to the parametric space. In a practical part there is implementation of the edge detection and the Hough transform. The Hough space must be normalized to better evaluation. At the evaluation there are found a concentric cicrles corresponding with edges of an anaesthesiological tube which is then possible to remove.
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Removal of Anesthesia Tube from Pediatric CT Data
Šejnohová, Marie ; Čmiel, Vratislav (referee) ; Walek, Petr (advisor)
The goal of this semestral thesis is to detect and subsequently to eliminate an anaesthesiological tube from a pediatric CT data using a Hough transform. It describes particular edge detectors based on the first and the second differences. In addition, it explains a principle of the edge detection using to this detectors. Then there is talked about the Hough Transform where is described a parametric space for lines and circles detection. Here follows a description of image to the parametric space. In a practical part there is implementation of the edge detection and the Hough transform. The Hough space must be normalized to better evaluation. At the evaluation there are found a concentric cicrles corresponding with edges of an anaesthesiological tube which is then possible to remove.
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|
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X-ray computed tomography of mouse embryo
Šejnohová, Marie ; Walek, Petr (referee) ; Kolář, Radim (advisor)
The aim of this semestral thesis is to compare the possibilities of available micro-CT systems. Theoretic part of this thesis there deals with possibilities of staining soft tissues and embryos because of enhancement the contrast of micro-CT images. Here follows a description of sources X-ray and detectors of available micro-CT systems. In practice there was realized the staining of embryo in cooperation with Department of histology and embryology in Brno. Then followed a measuring on FSI in Brno, ČVUT in Prague and synchrotron Elettra in Italy. In semestral thesis are described of the thesis there are compared the micro-CT systems and results of measuring embryos by means of presented systems and results are compared.The best results were obtained on micro-CT in Brno, where X-ray tube and flat panel detector were used. This images were used for a segmentation of cartilage olfactory system by means of 3D region growing. From results they were created 3D models for comparison with a manually segmented model. A less accurate results were obtain with the semi-automatic segmentation but this method isn’t too time-consuming.
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