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Analysis of Iteratively Reconstructed CT Data: Novel Methods for Measuring Image Quality
 Walek, Petr ; Herout, Adam (oponent) ; Svoboda,, David (oponent) ; Jan, Jiří (vedoucí práce)
The collective dose from medical radiation has been sharply increasing as well as availability of CT scanners and increasing number of indicated pathologies. Hence, reduction of applied dose is a topical theme nowadays. A great progress has been made by introduction of novel iterative methods for reconstruction of image data from measured projections. A new interest and need for CT image quality measurement have been simultaneously reported. Quality of iteratively reconstructed data was so far quantitatively measured in phantom scans or in small regions of interest in real patient data. However, the character of iteratively reconstructed data suggest that those approaches are no longer sufficient and they need to be revised or replaced by a new ones. Design of novel CT image quality parameters which will respect specifics of iteratively reconstructed data and will be fully automatically computed directly from real patient data is the main objective of this thesis.
Úplný záznam
Analysis of Iteratively Reconstructed CT Data: Novel Methods for Measuring Image Quality
 Walek, Petr ; Herout, Adam (oponent) ; Svoboda,, David (oponent) ; Jan, Jiří (vedoucí práce)
The collective dose from medical radiation has been sharply increasing as well as availability of CT scanners and increasing number of indicated pathologies. Hence, reduction of applied dose is a topical theme nowadays. A great progress has been made by introduction of novel iterative methods for reconstruction of image data from measured projections. A new interest and need for CT image quality measurement have been simultaneously reported. Quality of iteratively reconstructed data was so far quantitatively measured in phantom scans or in small regions of interest in real patient data. However, the character of iteratively reconstructed data suggest that those approaches are no longer sufficient and they need to be revised or replaced by a new ones. Design of novel CT image quality parameters which will respect specifics of iteratively reconstructed data and will be fully automatically computed directly from real patient data is the main objective of this thesis.
Úplný záznam

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