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Segmentation of the basic parts of human brain in MR data
Klásek, Pavel ; Jiřík, Radovan (referee) ; Malínský, Miloš (advisor)
This work describes segmentation methods used in image data processing, from which there are selected and implemented suitable methods for solving the assignment of segmentation parts of human brain – region growing and watershed algorithm. Segmentation techniques are realized on real data sources. Final segmentation results are presented, compared and evaluated accordig to the advanced software FreeSurfer segmentation results. In addition there is a list of available software that can be applied for the purpose of neurological image segmentation.
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Segmentation on tomographic data of multiphase materials
Troják, Jan ; Šalplachta, Jakub (referee) ; Břínek, Adam (advisor)
This work deals with segmentation of multiphase materials from X-ray computed tomography measurement. The segmentation was performed on meteorite images. There are various intermetallic phases in the structure of the meteorite and they are difficult to separate. The main objective is to test different image processing techniques (Otsu's thresholding, cluster analysis, region growing). The techniques were chosen with the focus on their benefits for multiphase material segmentation. Image denoising and sharpening is used before segmentation. Subsequently, selected segmentation methods are applied to real data. The individual results are evaluated. Finally, the comparison of selected methods is presented.
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Segmentation of magnetic resonance images
Hanák, Pavel ; Harabiš, Vratislav (referee) ; Havlíček, Martin (advisor)
Segmentation, magnetic resonance, grey matter, white matter, thresholding, region growing, splitting and merging, watershed, level set method.
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Blood vessel tree segmentation of the mouse liver in CT data
Smékalová, Veronika ; Odstrčilík, Jan (referee) ; Kolář, Radim (advisor)
The methodology of visualization of soft tissue is in biology and medicine a topic for many years. During this period there were approving many techniques how to achieve accurate and authentic image of the researched object or structure. X-ray computed tomography is very helpful to get this goal but is necessary to improve contrasting techniques as well as the techniques of image post-processing. This thesis deals with imaging soft tissue. Specifically, it focuses on mouse liver contrasting with the artificial resin Microfil. Thesis also describes image processing technique (thresholding and region growing) for the data of the measurement with the goal of the visualization of the sample in 3D.
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Segmentation of soft tissues in facial part of mouse embryos from X-ray computed microtomography data
Janštová, Michaela ; Harabiš, Vratislav (referee) ; Chmelík, Jiří (advisor)
This diploma thesis deals with a segmentation of soft tissues in facial part of mouse embryos in Matlab. Segmentation of soft tissues of mouse embryos was not fully automated and every case needs a specific solution. Solving parts of this issues can provide valuable data for evolutionary biologists. Issues about staining and segmentation techniques are described. On the basis of accessible literature otsu thresholding, region growing, k-means clustering and segmentation with atlas were tested. In the end of this paper are those methods tested and evaluated on 3D microtomography data.
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Segmentation of soft tissues in facial part of mouse embryos from X-ray computed microtomography data
Janštová, Michaela ; Harabiš, Vratislav (referee) ; Chmelík, Jiří (advisor)
This diploma thesis deals with a segmentation of soft tissues in facial part of mouse embryos in Matlab. Segmentation of soft tissues of mouse embryos was not fully automated and every case needs a specific solution. Solving parts of this issues can provide valuable data for evolutionary biologists. Issues about staining and segmentation techniques are described. On the basis of accessible literature otsu thresholding, region growing, k-means clustering and segmentation with atlas were tested. In the end of this paper are those methods tested and evaluated on 3D microtomography data.
|
|
|
Segmentation on tomographic data of multiphase materials
Troják, Jan ; Šalplachta, Jakub (referee) ; Břínek, Adam (advisor)
This work deals with segmentation of multiphase materials from X-ray computed tomography measurement. The segmentation was performed on meteorite images. There are various intermetallic phases in the structure of the meteorite and they are difficult to separate. The main objective is to test different image processing techniques (Otsu's thresholding, cluster analysis, region growing). The techniques were chosen with the focus on their benefits for multiphase material segmentation. Image denoising and sharpening is used before segmentation. Subsequently, selected segmentation methods are applied to real data. The individual results are evaluated. Finally, the comparison of selected methods is presented.
|
|
|
Blood vessel tree segmentation of the mouse liver in CT data
Smékalová, Veronika ; Odstrčilík, Jan (referee) ; Kolář, Radim (advisor)
The methodology of visualization of soft tissue is in biology and medicine a topic for many years. During this period there were approving many techniques how to achieve accurate and authentic image of the researched object or structure. X-ray computed tomography is very helpful to get this goal but is necessary to improve contrasting techniques as well as the techniques of image post-processing. This thesis deals with imaging soft tissue. Specifically, it focuses on mouse liver contrasting with the artificial resin Microfil. Thesis also describes image processing technique (thresholding and region growing) for the data of the measurement with the goal of the visualization of the sample in 3D.
|
|
|
Segmentation of the basic parts of human brain in MR data
Klásek, Pavel ; Jiřík, Radovan (referee) ; Malínský, Miloš (advisor)
This work describes segmentation methods used in image data processing, from which there are selected and implemented suitable methods for solving the assignment of segmentation parts of human brain – region growing and watershed algorithm. Segmentation techniques are realized on real data sources. Final segmentation results are presented, compared and evaluated accordig to the advanced software FreeSurfer segmentation results. In addition there is a list of available software that can be applied for the purpose of neurological image segmentation.
|
|
|
Segmentation of magnetic resonance images
Hanák, Pavel ; Harabiš, Vratislav (referee) ; Havlíček, Martin (advisor)
Segmentation, magnetic resonance, grey matter, white matter, thresholding, region growing, splitting and merging, watershed, level set method.
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