1. Automatic whole heart segmentation based on watershed and active contour model in CT images
- Author
-
Kehao Wang, Jing-Wen Bai, and Li Ping'an
- Subjects
Active contour model ,Computer science ,business.industry ,Segmentation-based object categorization ,Scale-space segmentation ,02 engineering and technology ,Image segmentation ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Robustness (computer science) ,0202 electrical engineering, electronic engineering, information engineering ,Medical imaging ,020201 artificial intelligence & image processing ,Segmentation ,Computer vision ,Artificial intelligence ,Bilateral filter ,business - Abstract
Due to the complexity of the hearts anatomy blurred boundaries of its surrounding organs in cardiac CT images, the whole heart segmentation is still a big challenge. In this paper, method based on watershed and active contour models were proposed for the whole heart CT image segmentation task. Firstly, the Bilateral filtering approach is used to eliminate the noise of the cardiac CT images. Then, the watershed segmentation method is applied to determine the initial seed contours. Finally, the active contour model is adopted in the evolve process iteratively with the previous contour to obtain the precise segmentation boundaries for whole heart CT images. The performance is evaluated with a clinical cardiac CT images dataset, which proved good segementation results as well as the high robustness.
- Published
- 2016