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

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Item Type:	Article
Title:	A new class of distance measures for registration of tubular models to image data
Creators Name:	Lange, T., Lamecker, H., Huenerbein, M., Eulenstein, S., 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
Page Range:	101-105
Date:	2007
Official Publication:	https://doi.org/10.1007/978-3-540-71091-2_21

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