dc.creatorMedina Molina, Ruben
dc.creatorLa Cruz Puente Alexandra
dc.creatorMorocho Zurita, Carlos Villie
dc.creatorOrdoñes, A
dc.creatorPesántez, D
dc.creatorVanegas Peralta, Pablo Fernando
dc.date.accessioned2018-01-11T16:47:18Z
dc.date.accessioned2022-10-20T20:14:59Z
dc.date.available2018-01-11T16:47:18Z
dc.date.available2022-10-20T20:14:59Z
dc.date.created2018-01-11T16:47:18Z
dc.date.issued2015-11-17
dc.identifier9781628419160
dc.identifier0277786X
dc.identifierhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84958231297&doi=10.1117%2f12.2211180&partnerID=40&md5=63b4ac770fe1d0d137802f5cbc29baf2
dc.identifierhttp://dspace.ucuenca.edu.ec/handle/123456789/29068
dc.identifier10.1117/12.2211180
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4595221
dc.description.abstractThe 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.
dc.languageen_US
dc.publisherSPIE
dc.sourceProceedings of SPIE - The International Society for Optical Engineering
dc.subjectCardiac Segmentation
dc.subjectImage Processing
dc.subjectLevel Sets
dc.subjectMulti-Slice Computerized Tomography
dc.titleLevel set algorithms comparison for multi-slice CT left ventricle segmentation
dc.typeArticle


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