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Title: Level set algorithms comparison for multi-slice CT left ventricle segmentation
Authors: Medina Molina, Ruben
La Cruz Puente Alexandra
Morocho Zurita, Carlos Villie
Ordoñes, A
Pesántez, D
Vanegas Peralta, Pablo Fernando
metadata.dc.ucuenca.correspondencia: Medina, R.; Departamento de Electrica, Electronica y Telecomunicaciones, Universidad de CuencaEcuador; email: ruben.medina@ucuenca.edu.ec
metadata.dc.ucuenca.nombrerevista: 11th International Symposium on Medical Information Processing and Analysis SIPAIM 2015
Keywords: Cardiac Segmentation
Image Processing
Level Sets
Multi-Slice Computerized Tomography
Issue Date: 17-Nov-2015
metadata.dc.ucuenca.embargoend: 1-Jan-2022
metadata.dc.ucuenca.volumen: 9681
metadata.dc.source: Proceedings of SPIE - The International Society for Optical Engineering
metadata.dc.identifier.doi: 10.1117/12.2211180
Publisher: SPIE
metadata.dc.type: Article
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.
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958231297&doi=10.1117%2f12.2211180&partnerID=40&md5=63b4ac770fe1d0d137802f5cbc29baf2
ISBN: 9781628419160
ISSN: 0277786X
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