Fast 3D spine reconstruction of postoperative patients using a multilevel statistical model

Download
  1. (PDF, 825 KB)
  2. Get@NRC: Fast 3D spine reconstruction of postoperative patients using a multilevel statistical model (Opens in a new window)
DOIResolve DOI: http://doi.org/10.1007/978-3-642-33418-4_55
AuthorSearch for: ; Search for: ; Search for: ; Search for: ; Search for:
TypeBook Chapter
Proceedings titleMedical Image Computing and Computer-Assisted Intervention – MICCAI 2012 : 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II
Series titleLecture Notes In Computer Science; Volume 7511
Conference15th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2012), October 1-5, 2012, Nice, France
ISSN0302-9743
ISBN978-3-642-33417-7
978-3-642-33418-4
Volume7511
Pages446453; # of pages: 8
Subject3D reconstruction; spine; statistical shape model; multilevel modeling
AbstractSevere 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.
Publication date
PublisherSpringer Berlin Heidelberg
LanguageEnglish
AffiliationInformation and Communication Technologies; National Research Council Canada
Peer reviewedYes
NPARC number21262543
Export citationExport as RIS
Report a correctionReport a correction
Record identifier94a1e287-477c-46f4-b248-71162647f8c9
Record created2013-03-13
Record modified2016-06-22
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)