Assessment of spline-based 2D-3D registration for image-guided spine surgery

Zhang, Xuan; Zheng, Guoyan; Langlotz, Frank; Nolte, Lutz-Peter (2006). Assessment of spline-based 2D-3D registration for image-guided spine surgery. Minimally invasive therapy & allied technologies, 15(3), pp. 193-9. London: Informa Healthcare 10.1080/13645700600769474

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2D-3D registration of pre-operative 3D volumetric data with a series of calibrated and undistorted intra-operative 2D projection images has shown great potential in CT-based surgical navigation because it obviates the invasive procedure of the conventional registration methods. In this study, a recently introduced spline-based multi-resolution 2D-3D image registration algorithm has been adapted together with a novel least-squares normalized pattern intensity (LSNPI) similarity measure for image guided minimally invasive spine surgery. A phantom and a cadaver together with their respective ground truths were specially designed to experimentally assess possible factors that may affect the robustness, accuracy, or efficiency of the registration. Our experiments have shown that it is feasible for the assessed 2D-3D registration algorithm to achieve sub-millimeter accuracy in a realistic setup in less than one minute.

Item Type:	Journal Article (Original Article)
Division/Institute:	04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB [discontinued]
UniBE Contributor:	Zhang, Xuan, Zheng, Guoyan, Langlotz, Frank, Nolte, Lutz-Peter
ISSN:	1364-5706
ISBN:	16785186
Publisher:	Informa Healthcare
Language:	English
Submitter:	Factscience Import
Date Deposited:	04 Oct 2013 14:49
Last Modified:	05 Dec 2022 14:15
Publisher DOI:	10.1080/13645700600769474
PubMed ID:	16785186
Web of Science ID:	000238413200006
URI:	https://boris.unibe.ch/id/eprint/20490 (FactScience: 3962)