Vertebral shape: automatic measurement with dynamically sequenced active appearance models.
Med Image Comput Comput Assist Interv
; 8(Pt 2): 733-40, 2005.
Article
en En
| MEDLINE
| ID: mdl-16686025
The shape and appearance of vertebrae on lateral dual x-ray absorptiometry (DXA) scans were statistically modelled. The spine was modelled by a sequence of overlapping triplets of vertebrae, using Active Appearance Models (AAMs). To automate vertebral morphometry, the sequence of trained models was matched to previously unseen scans. The dataset includes a significant number of pathologies. A new dynamic ordering algorithm was assessed for the model fitting sequence, using the best quality of fit achieved by multiple sub-model candidates. The accuracy of the search was improved by dynamically imposing the best quality candidate first. The results confirm the feasibility of substantially automating vertebral morphometry measurements even with fractures or noisy images.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Vértebras Torácicas
/
Reconocimiento de Normas Patrones Automatizadas
/
Interpretación de Imagen Radiográfica Asistida por Computador
/
Fracturas de la Columna Vertebral
/
Vértebras Lumbares
Tipo de estudio:
Diagnostic_studies
/
Evaluation_studies
/
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Med Image Comput Comput Assist Interv
Asunto de la revista:
DIAGNOSTICO POR IMAGEM
/
INFORMATICA MEDICA
Año:
2005
Tipo del documento:
Article
Pais de publicación:
Alemania