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Verfasst von:Muders, Jens [VerfasserIn]   i
 Hesser, Jürgen [VerfasserIn]   i
Titel:Projection-wise filter optimization for limited-angle cone-beam CT using the approximate inverse
Verf.angabe:Jens Muders and Jürgen Hesser
Jahr:2015
Umfang:16 S.
Fussnoten:Gesehen am 21.11.2018 ; Date of publication November 14, 2014
Titel Quelle:Enthalten in: Institute of Electrical and Electronics EngineersIEEE transactions on nuclear science
Ort Quelle:New York, NY : IEEE, 1963
Jahr Quelle:2015
Band/Heft Quelle:62(2015), 1, Seite 148-163
ISSN Quelle:1558-1578
Abstract:In this paper, we present a novel and efficient approach for the optimization of filters for limited-angle cone beam computed tomography (CBCT). Our method is based on the theory of approximate inverse (AI) and uses a simultaneous iterative reconstruction technique (SIRT) to estimate a view-dependent reconstruction kernel. From this kernel we then derive a set of 2-D filters that can be applied in a filtered backprojection (FBP) algorithm. By construction the resulting filters are independent of the measured data, so that they can be precomputed for a given geometric setup and be reused with different projection datasets. Our approach is the first application of the AI for 3-D limited-angle CBCT supported by iterative reconstruction, such that in comparison to existing methods, it does not rely on additional reference measurements or on the existence of an analytical inversion formula. However, our method reaches results better than standard FBP methods. Additionally, we provide a general scheme that allows the transfer of our method to other system geometries and gives us the ability to extend it with more complex filters. We will conduct several experiments with simulated and real data where we examine the image quality of our method in comparison to standard FBP and SIRT. The results will show that our angle-optimized FBP has a higher contrast-to-artifact ratio than FBP. In addition to this, we analyze the image quality perpendicular to the in-focus plane by the use of the artifact spread function and show that our technique can be employed to reduce the amount of ghosting artifacts.
DOI:doi:10.1109/TNS.2014.2364637
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

DOI: https://doi.org/10.1109/TNS.2014.2364637
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:optimisation
 3D limited-angle CBCT
 analytical inversion formula
 approximate inverse
 Approximation methods
 artifact spread function
 Artificial intelligence
 Computed tomography
 Computed tomography (CT)
 computerised tomography
 contrast-to-artifact ratio
 Detectors
 digital filters
 filtered backprojection algorithm
 filtering algorithms
 focal planes
 ghosting artifacts
 image quality
 image reconstruction
 Image reconstruction
 in-focus plane
 iterative algorithms
 iterative methods
 Iterative methods
 Kernel
 limited-angle cone-beam computed tomography
 nondestructive testing
 projection algorithms
 projection-wise filter optimization
 reconstruction algorithms
 simultaneous iterative reconstruction technique
 SIRT
 standard FBP method
 view-dependent reconstruction kernel
 volume measurement
 X-ray tomography
K10plus-PPN:1583934715
Verknüpfungen:→ Zeitschrift

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