Spline-based hybrid image registration using landmark and intensity information based on matrix-valued non-radial basis functions

• Verfasst von: Wörz, Stefan [VerfasserIn]
• Verfasst von: Rohr, Karl [VerfasserIn]
• Titel: Spline-based hybrid image registration using landmark and intensity information based on matrix-valued non-radial basis functions
• Verf.angabe: Stefan Wörz, Karl Rohr
• Jahr: 2014
• Jahr des Originals: 2013
• Umfang: 17 S.
• Fussnoten: Published online: 23 July 2013 ; Gesehen am 06.10.2020
• Titel Quelle: Enthalten in: International journal of computer vision
• Ort Quelle: Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987
• Jahr Quelle: 2014
• Band/Heft Quelle: 106(2014), 1, Seite 76-92
• ISSN Quelle: 1573-1405
• DOI: doi:10.1007/s11263-013-0642-z
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 173480596X

Abstract

We introduce a new approach for spline-based elastic image registration using both point landmarks and intensity information. With this approach, both types of information as well as a regularization based on the Navier equation are directly integrated in a single energy minimizing functional. For this functional we have derived an analytic solution, which is based on matrix-valued non-radial basis functions. With our approach the full 3D intensity information is exploited, i.e., all voxels are considered and subsampling using a grid is not required. A special case of our hybrid approach is obtained by disregarding the landmark information, which results in a pure intensity-based elastic registration approach. We have successfully applied our approach to 3D synthetic images, 2D MR images of the human brain, 2D gel electrophoresis images, and 3D CT lung images.