Reconstruction algorithms for clinical X-ray CT scanners have evolved over the year with emphasis on improving the noise properties of the reconstructed image especially for whole body imaging. With increasing regulations on X-ray radiation dose, approximate reconstruction algorithms are preferred over exact reconstruction algorithms for clinical applications due to their superior noise properties. In this thesis, we look into improving the image quality, measured in terms of noise, of exact reconstruction algorithms. Of all the exact reconstruction algorithms available in litterature, we choose the exact reconstruction algorithm developed be Katsevich because of its superior computation efficiency. The noise properties of the Katsevich algorithm is improved by modifying the algorithm to reconstruct the estimate of the attenuation density function over a small region in space. This small region is called a slice and we introduce five methods that allow Katsevich algorithm to reconstruct slices. The first method is called the sub-sampling filtering method and this method reconstructs an estimate of a slice by averaging estimates of sub- samples within the slice region.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Reconstruction algorithms for clinical X-ray CT scanners have evolved over the year with emphasis on improving the noise properties of the reconstructed image especially for whole body imaging. With increasing regulations on X-ray radiation dose, approximate reconstruction algorithms are preferred over exact reconstruction algorithms for clinical applications due to their superior noise properties. In this thesis, we look into improving the image quality, measured in terms of noise, of exact reconstruction algorithms. Of all the exact reconstruction algorithms available in litterature, we choose the exact reconstruction algorithm developed be Katsevich because of its superior computation efficiency. The noise properties of the Katsevich algorithm is improved by modifying the algorithm to reconstruct the estimate of the attenuation density function over a small region in space. This small region is called a slice and we introduce five methods that allow Katsevich algorithm to reconstruct slices. The first method is called the sub-sampling filtering method and this method reconstructs an estimate of a slice by averaging estimates of sub- samples within the slice region. 132 pp. Englisch. Seller Inventory # 9783838334639
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Reconstruction algorithms for clinical X-ray CT scanners have evolved over the year with emphasis on improving the noise properties of the reconstructed image especially for whole body imaging. With increasing regulations on X-ray radiation dose, approximat. Seller Inventory # 5414041
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Reconstruction algorithms for clinical X-ray CT scanners have evolved over the year with emphasis on improving the noise properties of the reconstructed image especially for whole body imaging. With increasing regulations on X-ray radiation dose, approximate reconstruction algorithms are preferred over exact reconstruction algorithms for clinical applications due to their superior noise properties. In this thesis, we look into improving the image quality, measured in terms of noise, of exact reconstruction algorithms. Of all the exact reconstruction algorithms available in litterature, we choose the exact reconstruction algorithm developed be Katsevich because of its superior computation efficiency. The noise properties of the Katsevich algorithm is improved by modifying the algorithm to reconstruct the estimate of the attenuation density function over a small region in space. This small region is called a slice and we introduce five methods that allow Katsevich algorithm to reconstruct slices. The first method is called the sub-sampling filtering method and this method reconstructs an estimate of a slice by averaging estimates of sub- samples within the slice region. Seller Inventory # 9783838334639
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Reconstruction algorithms for clinical X-ray CT scanners have evolved over the year with emphasis on improving the noise properties of the reconstructed image especially for whole body imaging. With increasing regulations on X-ray radiation dose, approximate reconstruction algorithms are preferred over exact reconstruction algorithms for clinical applications due to their superior noise properties. In this thesis, we look into improving the image quality, measured in terms of noise, of exact reconstruction algorithms. Of all the exact reconstruction algorithms available in litterature, we choose the exact reconstruction algorithm developed be Katsevich because of its superior computation efficiency. The noise properties of the Katsevich algorithm is improved by modifying the algorithm to reconstruct the estimate of the attenuation density function over a small region in space. This small region is called a slice and we introduce five methods that allow Katsevich algorithm to reconstruct slices. The first method is called the sub-sampling filtering method and this method reconstructs an estimate of a slice by averaging estimates of sub- samples within the slice region.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch. Seller Inventory # 9783838334639