Bronchoscope tracking based on image registration using multiple initial starting points estimated by motion prediction.
Med Image Comput Comput Assist Interv
; 9(Pt 2): 645-52, 2006.
Article
em En
| MEDLINE
| ID: mdl-17354827
ABSTRACT
This paper presents a method for tracking a bronchoscope based on motion prediction and image registration from multiple initial starting points as a function of a bronchoscope navigation system. We try to improve performance of bronchoscope tracking based on image registration using multiple initial guesses estimated using motion prediction. This method basically tracks a bronchoscopic camera by image registration between real bronchoscopic images and virtual ones derived from CT images taken prior to the bronchoscopic examinations. As an initial guess for image registration, we use multiple starting points to avoid falling into local minima. These initial guesses are computed using the motion prediction results obtained from the Kalman filter's output. We applied the proposed method to nine pairs of X-ray CT images and real bronchoscopic video images. The experimental results showed significant performance in continuous tracking without using any positional sensors.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Brônquios
/
Broncoscopia
/
Interpretação de Imagem Assistida por Computador
/
Aumento da Imagem
/
Técnica de Subtração
/
Movimento
Tipo de estudo:
Diagnostic_studies
/
Evaluation_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2006
Tipo de documento:
Article