Level set algorithms comparison for multi-slice CT left ventricle segmentation
Abstract:
The comparison of several Level Set algorithms is performed with respect to 2D left ventricle segmentation in Multi-Slice CT images. Five algorithms are compared by calculating the Dice coefficient between the resulting segmentation contour and a reference contour traced by a cardiologist. The algorithms are also tested on images contaminated with Gaussian noise for several values of PSNR. Additionally an algorithm for providing the initialization shape is proposed. This algorithm is based on a combination of mathematical morphology tools with watershed and region growing algorithms. Results on the set of test images are promising and suggest the extension to 3{D MSCT database segmentation.
Año de publicación:
2015
Keywords:
- cardiac segmentation
- Level Sets
- IMAGE PROCESSING
- Multi-slice computerized tomography
Fuente:



Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Visión por computadora
Áreas temáticas:
- Fisiología humana
- Farmacología y terapéutica
- Enfermedades