Paper
22 December 2015 Level set algorithms comparison for multi-slice CT left ventricle segmentation
Ruben Medina, Alexandra La Cruz, Andrés Ordoñes, Daniel Pesántez, Villie Morocho, Pablo Vanegas
Author Affiliations +
Proceedings Volume 9681, 11th International Symposium on Medical Information Processing and Analysis; 96810O (2015) https://doi.org/10.1117/12.2211180
Event: 11th International Symposium on Medical Information Processing and Analysis (SIPAIM 2015), 2015, Cuenca, Ecuador
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruben Medina, Alexandra La Cruz, Andrés Ordoñes, Daniel Pesántez, Villie Morocho, and Pablo Vanegas "Level set algorithms comparison for multi-slice CT left ventricle segmentation", Proc. SPIE 9681, 11th International Symposium on Medical Information Processing and Analysis, 96810O (22 December 2015); https://doi.org/10.1117/12.2211180
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Image processing algorithms and systems

Computed tomography

Databases

Binary data

Heart

Image processing

Back to Top