Fast 3D reconstruction of the spine using user-defined splines and a statistical articulated model

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DOIResolve DOI: http://doi.org/10.1007/978-3-642-10331-5_55
AuthorSearch for: ; Search for: ; Search for: ; Search for:
TypeBook Chapter
Proceedings titleAdvances in Visual Computing : 5th International Symposium, ISVC 2009, Las Vegas, NV, USA, November 30 - December 2, 2009, Proceedings, Part I
Series titleLecture Notes In Computer Science; Volume 5875
ConferenceThe 5th International Symposium on Visual Computing (ISVC09), Las Vegas, Nevada , November 30 - December 2 2009
ISSN0302-9743
ISBN978-3-642-10330-8
978-3-642-10331-5
Pages586595; # of pages: 10
AbstractThis paper proposes a method for rapidly reconstructing 3D models of the spine from two planar radiographs. For performing 3D reconstructions, users only have to identify on each radiograph a spline that represents the spine midline. Then, a statistical articulated model of the spine is deformed until it best fits these splines. The articulated model used on this method not only models vertebrae geometry, but their relative location and orientation as well. The method was tested on 14 radiographic exams of patients for which reconstructions of the spine using a manual identification method where available. Using simulated splines, errors of 2.2±1.3mm were obtained on endplates location, and 4.1±2.1mm on pedicles. Reconstructions by non-expert users show average reconstruction times of 1.5min, and mean errors of 3.4mm for endplates and 4.8mm for pedicles. These results suggest that the proposed method can be used to reconstruct the human spine in 3D when user interactions have to be minimised.
Publication date
PublisherSpringer Berlin Heidelberg
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); Information and Communication Technologies
Peer reviewedYes
NPARC number15336801
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Record identifier3e2e5d55-2103-4229-993d-ee4bdc2531c1
Record created2010-06-10
Record modified2016-06-21
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