| Download | - View accepted manuscript: Fast 3D reconstruction of the spine using user-defined splines and a statistical articulated model (PDF, 398 KiB)
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| DOI | Resolve DOI: https://doi.org/10.1007/978-3-642-10331-5_55 |
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| Author | Search for: Moura, Daniel C.; Search for: Boisvert, Jonathan1; Search for: Barbosa, Jorge G.; Search for: Tavares, João Manuel R. S. |
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| Affiliation | - National Research Council of Canada. Information and Communication Technologies
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| Format | Text, Book Chapter |
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| Conference | The 5th International Symposium on Visual Computing (ISVC09), Las Vegas, Nevada , November 30 - December 2 2009 |
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| Abstract | This 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. |
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| Publication date | 2009 |
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| Publisher | Springer Berlin Heidelberg |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 15336801 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 3e2e5d55-2103-4229-993d-ee4bdc2531c1 |
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| Record created | 2010-06-10 |
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| Record modified | 2020-06-17 |
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