Status: Bibliographieeintrag
Standort: ---
Exemplare:
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| Online-Ressource |
Verfasst von: | Wörz, Stefan [VerfasserIn]  |
| 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 |
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. |
DOI: | doi:10.1007/s11263-013-0642-z |
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.
Volltext ; Verlag: https://doi.org/10.1007/s11263-013-0642-z |
| Volltext: https://link.springer.com/article/10.1007%2Fs11263-013-0642-z |
| DOI: https://doi.org/10.1007/s11263-013-0642-z |
Datenträger: | Online-Ressource |
Sprache: | eng |
K10plus-PPN: | 173480596X |
Verknüpfungen: | → Zeitschrift |
Spline-based hybrid image registration using landmark and intensity information based on matrix-valued non-radial basis functions / Wörz, Stefan [VerfasserIn]; 2014 (Online-Ressource)
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