Calibration for Circular Cone-Beam CT Based on Consistency Conditions

Jerome Lesaint 1 Simon Rit 2 Rolf Clackdoyle 1 Laurent Desbat 1
1 GMCAO
TIMC-IMAG - Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications [Grenoble]
2 4 - Imagerie Tomographique et Radiothérapie
CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
Abstract : In cone-beam computed tomography (CT), imprecise knowledge of the acquisition geometry can severely impact the quality of the reconstructed image. This paper investigates geometric calibration using data consistency conditions (DCCs). Unlike the usual marker-based off-line methods, the proposed method does not require the extra-scan of a calibration phantom. It is based on the minimization of a cost function, which measures the inconsistency between pairs of projections. The method has been applied to both simulated and real data. The latter were acquired from a micro-CT system with circular trajectory, for which the problem reduces to identifying global misalignments of the system. When compared to uncorrected reconstruction, the method significantly improved the image quality. When compared to marker-based calibration method, the image quality was similar but no calibration scan was required. Finally, the method can handle axially truncated data. Axial truncation is very common in the medical context but often considered intractable for DCC-based methods. We also demonstrate DCC calibration from real data with axial truncation.
Type de document :
Article dans une revue
IEEE Transactions on Radiation and Plasma Medical Sciences, IEEE, 2017, 1 (6), pp.517 - 526. 〈10.1109/TRPMS.2017.2734844〉
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https://hal.archives-ouvertes.fr/hal-01686646
Contributeur : Béatrice Rayet <>
Soumis le : mercredi 17 janvier 2018 - 15:44:44
Dernière modification le : lundi 9 avril 2018 - 17:08:05

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Jerome Lesaint, Simon Rit, Rolf Clackdoyle, Laurent Desbat. Calibration for Circular Cone-Beam CT Based on Consistency Conditions. IEEE Transactions on Radiation and Plasma Medical Sciences, IEEE, 2017, 1 (6), pp.517 - 526. 〈10.1109/TRPMS.2017.2734844〉. 〈hal-01686646〉

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