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Applying a priori information to computed laminography

: Schorr, Christian; Dörr, Laura; Maisl, Michael

Volltext urn:nbn:de:0011-n-3561890 (435 KByte PDF)
MD5 Fingerprint: 0fa7f9bc01da9e1ee66ce6a3586a7a11
Erstellt am: 21.8.2015

Bundesanstalt für Materialforschung und -prüfung -BAM-, Berlin; Deutsche Gesellschaft für Zerstörungsfreie Prüfung e.V. -DGZfP-, Berlin; Ghent University, Ghent:
International Symposium on Digital Industrial Radiology and Computed Tomography, DIR 2015 : 22-25 June 2015, Ghent, Belgium, Conference & Proceedings
Belgium, 2015
9 S.
International Symposium on Digital Industrial Radiology and Computed Tomography (DIR) <2015, Ghent>
Deutsche Forschungsgemeinschaft DFG
MA 5836/1-1
Parallel Iterative Methods with APriori Information for Robust Computed Laminography of Low Contrast, Difficult-To-Measure Objects
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IZFP ()
computed tomography; computed laminography; CLARA; a priori information; 2D-3D registration

Reconstructed 3D volumes from computed laminography data suffer from blurring artefacts due to the laminographic geometry. Such losses in quality can be tackled by the use of a priori information about the test object which can be integrated into the iterative reconstruction process. However, this requires the position of thea priori model to be fitted exactly to the measured data. A (semi-)automatic 2D-3D registration algorithm which only requires a minimal additional user input and is based on a mathematical optimization problem is presented. Using measurement data obtained by simulating x-ray projections of the laminographic scanner CLARA the algorithm is legitimated and the results are evaluated.