Automatic intracranial space segmentation for computed tomography brain images.
J Digit Imaging
; 26(3): 563-71, 2013 Jun.
Article
em En
| MEDLINE
| ID: mdl-23129541
Craniofacial disorders are routinely diagnosed using computed tomography imaging. Corrective surgery is often performed early in life to restore the skull to a more normal shape. In order to quantitatively assess the shape change due to surgery, we present an automated method for intracranial space segmentation. The method utilizes a two-stage approach which firstly initializes the segmentation with a cascade of mathematical morphology operations. This segmentation is then refined with a level-set-based approach that ensures that low-contrast boundaries, where bone is absent, are completed smoothly. We demonstrate this method on a dataset of 43 images and show that the method produces consistent and accurate results.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Interpretação de Imagem Radiográfica Assistida por Computador
/
Tomografia Computadorizada por Raios X
/
Craniossinostoses
Idioma:
En
Ano de publicação:
2013
Tipo de documento:
Article