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A new class of distance measures for registration of tubular models to image data

Item Type:Article
Title:A new class of distance measures for registration of tubular models to image data
Creators Name:Lange, T. and Lamecker, H. and Huenerbein, M. and Eulenstein, S. and Beller, S. and Schlag, P.M.
Abstract:In some registration applications additional user knowledge is available, which can improve and accelerate the registration process, especially for non-rigid registration. This is particularly important in the transfer of pre-operative plans to the operating room, e.g. for navigation. In case of tubular structures, such as vessels, a geometric representation can be extracted via segmentation and skeletonization. We present a new class of distance measures based on global filter kernels to compare such models efficiently with image data. The approach is validated in a non-rigid registration application with Powerdoppler ultrasound data.
Source:Informatik aktuell
Series Name:Informatik aktuell
Title of Book:Bildverarbeitung fuer die Medizin 2007
ISSN:1431-472X
ISBN:978-3-540-71090-5
Publisher:Springer (Germany)
Page Range:101-105
Date:2007
Official Publication:https://doi.org/10.1007/978-3-540-71091-2_21

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