A novel active contour model named variable background active contour model is proposed and applied for the detection of thyroid nodules in ultrasound images. The new model offers edge independency, no need for smoothing, ability for topological changes and it is more accurate when compared to the active contour without edges model. Improved accuracy is achieved by introducing as background a limited image subset which appropriately changes shape to reduce the effects of background inhomogeneity. We validated the proposed model on ultrasound images acquired from 24 patients and the results demonstrate an improvement in accuracy when compared to the active contour without edges model.
A variable background active contour model for automatic detection of thyroid nodules in ultrasound images
2005-01-01
602131 byte
Conference paper
Electronic Resource
English
| British Library Conference Proceedings | 2005
Automatic Contour Detection by Encoding Knowledge into Active Contour Models
| British Library Conference Proceedings | 1998
Contour tracking on ultrasound sequences of vascular images
| British Library Online Contents | 2008
| British Library Online Contents | 2005
Contour segmentation in 2D ultrasound medical images with particle filtering
| British Library Online Contents | 2011