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Autor:
Sofia Antunes 1, 2, Antonio Esposito 1, 3, Anna Palmisano 1, 3 Caterina Colantoni 1, Sergio Cerutti 2, Giovanna Rizzo 4
Publikováno v:
Annals of biomedical engineering (Online) 44 (2016): 1487–1501. doi:10.1007/s10439-015-1422-4
info:cnr-pdr/source/autori:Sofia Antunes 1,2, Antonio Esposito 1,3, Anna Palmisano 1,3 Caterina Colantoni 1,3, Sergio Cerutti 2, Giovanna Rizzo 4/titolo:Cardiac Multi-detector CT Segmentation Based on Multiscale Directional Edge Detector and 3D Level Set./doi:10.1007%2Fs10439-015-1422-4/rivista:Annals of biomedical engineering (Online)/anno:2016/pagina_da:1487/pagina_a:1501/intervallo_pagine:1487–1501/volume:44
info:cnr-pdr/source/autori:Sofia Antunes 1,2, Antonio Esposito 1,3, Anna Palmisano 1,3 Caterina Colantoni 1,3, Sergio Cerutti 2, Giovanna Rizzo 4/titolo:Cardiac Multi-detector CT Segmentation Based on Multiscale Directional Edge Detector and 3D Level Set./doi:10.1007%2Fs10439-015-1422-4/rivista:Annals of biomedical engineering (Online)/anno:2016/pagina_da:1487/pagina_a:1501/intervallo_pagine:1487–1501/volume:44
Extraction of the cardiac surfaces of interest from multi-detector computed tomographic (MDCT) data is a pre-requisite step for cardiac analysis, as well as for image guidance procedures. Most of the existing methods need manual corrections, which is