Fast rigid registration in radiation therapy

• Verfasst von: Müller, Ulrich [VerfasserIn]
• Verfasst von: Hesser, Jürgen [VerfasserIn]
• Verfasst von: Walter, Cornelia [VerfasserIn]
• Verfasst von: Dobler, Barbara [VerfasserIn]
• Verfasst von: Lohr, Frank [VerfasserIn]
• Verfasst von: Wenz, Frederik [VerfasserIn]
• Titel: Fast rigid registration in radiation therapy
• Verf.angabe: Ulrich Müller, Jürgen Hesser, Cornelia Walter, Barbara Dobler, Frank Lohr, Frederik Wenz
• Jahr: 2006
• Umfang: 3 S.
• Fussnoten: Gesehen am 15.03.2022
• Titel Quelle: Enthalten in: Medicine meets virtual reality 14
• Ort Quelle: Amsterdam : IOS Press, 2006
• Jahr Quelle: 2006
• Band/Heft Quelle: (2006), Seite 404-406
• ISBN Quelle: 1-58603-583-5
• ISBN Quelle: 978-1-58603-583-9
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Online-Ausgabe: Müller, Ulrich: Fast rigid registration in radiation therapy. - 2006
• Sach-SW: Data Display
• Sach-SW: Germany
• Sach-SW: Radiotherapy, Computer-Assisted
• Sach-SW: Tomography, X-Ray Computed
• K10plus-PPN: 1795582065

Abstract

Based on a stochastic mutual information type matching and RPROP as stochastic optimizer, an interactive image-based registration of a CT volume onto two 2D images provided by a megavoltage system is presented. The matching process is based on semi-automatic pre-segmentation, an approximate 2D-2D matching with precomputed virtual projections (DRRs) followed by an accurate 3D-2D matching step. Our sample-based approach requires only a fraction of computed DRRs for 3D-2D. A simultaneous computation of the DRR rays and their perturbations in 6 dimensions speeds up the rendering process by a factor of 6.8. The complete registration process takes 5.6 +/- 2.3 seconds on a 3 GHz Pentium IV PC, being the fastest non-parallel approach for this sort of application the authors are aware of.