| Download | - View accepted manuscript: Fast 3D spine reconstruction of postoperative patients using a multilevel statistical model (PDF, 727 KiB)
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| DOI | Resolve DOI: https://doi.org/10.1007/978-3-642-33418-4_55 |
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| Author | Search for: Lecron, Fabian; Search for: Boisvert, Jonathan1; Search for: Mahmoudi, Saïd; Search for: Labelle, Hubert; Search for: Benjelloun, Mohammed |
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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 | 15th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2012), October 1-5, 2012, Nice, France |
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| Subject | 3D reconstruction; spine; statistical shape model; multilevel modeling |
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| Abstract | Severe cases of spinal deformities such as scoliosis are usually treated by a surgery where instrumentation (hooks, screws and rods) is installed to the spine to correct deformities. Even if the purpose is to obtain a normal spine curve, the result is often straighter than normal. In this paper, we propose a fast statistical reconstruction algorithm based on a general model which can deal with such instrumented spines. To this end, we present the concept of multilevel statistical model where the data are decomposed into a within-group and a between-group component. The reconstruction procedure is formulated as a second-order cone program which can be solved very fast (few tenths of a second). Reconstruction errors were evaluated on real patient data and results showed that multilevel modeling allows better 3D reconstruction than classical models. |
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| Publication date | 2012-12 |
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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 | 21262543 |
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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 | 94a1e287-477c-46f4-b248-71162647f8c9 |
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| Record created | 2013-03-13 |
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| Record modified | 2020-06-04 |
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