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Intensity-based 2D-3D Medical Image Registration
Algorithms and Analysis
Taschenbuch von Daniel Russakoff
Sprache: Englisch

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Beschreibung
Intensity-based 2D-3D medical image registration is a special case of the pose estimation problem from computer vision with many applications in medicine. This work presents an overview of the 2D-3D intensity-based image registration problem in the medical domain as well as results from several methods developed to aid in its practice. In particular: 1) Light field rendering techniques from the graphics community are extended to rapidly generate digitally reconstructed radiographs (DRRs). 2) A full 2D-3D registration algorithm using light field DRRs is presented and validated against a real, clinical gold standard. 3) A new, hybrid similarity measure is presented that is a weighted combination of an intensity-based image similarity measure and a point-based measure incorporating a single fiducial marker. 4) Finally, a novel similarity measure called regional mutual information (RMI) is introduced. RMI is an extension of mutual information which incorporates spatial information in a principled way. The additional spatial information helps make its use as a similarity measure much more robust to initial misregistration than standard mutual information.
Intensity-based 2D-3D medical image registration is a special case of the pose estimation problem from computer vision with many applications in medicine. This work presents an overview of the 2D-3D intensity-based image registration problem in the medical domain as well as results from several methods developed to aid in its practice. In particular: 1) Light field rendering techniques from the graphics community are extended to rapidly generate digitally reconstructed radiographs (DRRs). 2) A full 2D-3D registration algorithm using light field DRRs is presented and validated against a real, clinical gold standard. 3) A new, hybrid similarity measure is presented that is a weighted combination of an intensity-based image similarity measure and a point-based measure incorporating a single fiducial marker. 4) Finally, a novel similarity measure called regional mutual information (RMI) is introduced. RMI is an extension of mutual information which incorporates spatial information in a principled way. The additional spatial information helps make its use as a similarity measure much more robust to initial misregistration than standard mutual information.
Details
Erscheinungsjahr: 2010
Genre: Informatik, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9783639119541
ISBN-10: 3639119541
Sprache: Englisch
Autor: Russakoff, Daniel
Hersteller: VDM Verlag Dr. Müller
Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, D-66111 Saarbrücken, info@akademikerverlag.de
Maße: 8 x 150 x 220 mm
Von/Mit: Daniel Russakoff
Erscheinungsdatum: 31.03.2010
Gewicht: 0,196 kg
Artikel-ID: 101226759
Details
Erscheinungsjahr: 2010
Genre: Informatik, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9783639119541
ISBN-10: 3639119541
Sprache: Englisch
Autor: Russakoff, Daniel
Hersteller: VDM Verlag Dr. Müller
Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, D-66111 Saarbrücken, info@akademikerverlag.de
Maße: 8 x 150 x 220 mm
Von/Mit: Daniel Russakoff
Erscheinungsdatum: 31.03.2010
Gewicht: 0,196 kg
Artikel-ID: 101226759
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