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INVESTIGATION INTO THEORETICALLY EXACT: RECONSTRUCTION ALGORITHMS TOWARDS IMPROVED IMAGE QUALITY - Couverture souple

Venkataraman, Rajesh

 
9783838334639: INVESTIGATION INTO THEORETICALLY EXACT: RECONSTRUCTION ALGORITHMS TOWARDS IMPROVED IMAGE QUALITY
Couverture souple
ISBN 10 : 3838334639 ISBN 13 : 9783838334639
Editeur : LAP Lambert Academic Publishing, 2010

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP Lambert Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3838334639
ISBN 13 
9783838334639
Reliure
Broché
Nombre de pages
132
Coordonnées du fabricant
non disponible
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