Fast 3D spine reconstruction of postoperative patients using a multilevel statistical model.
Med Image Comput Comput Assist Interv
; 15(Pt 2): 446-53, 2012.
Article
en En
| MEDLINE
| ID: mdl-23286079
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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Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Escoliosis
/
Columna Vertebral
/
Interpretación de Imagen Radiográfica Asistida por Computador
/
Imagenología Tridimensional
/
Laminectomía
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Med Image Comput Comput Assist Interv
Asunto de la revista:
DIAGNOSTICO POR IMAGEM
/
INFORMATICA MEDICA
Año:
2012
Tipo del documento:
Article
País de afiliación:
Bélgica