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Conference papers
Gray-level hit-or-miss transform based region-growing for automatic segmentation of 3D coronary arteries
Abstract : In this paper we propose a fully automatic algorithm for coronary artery extraction from X-ray data (3D- CT scan, 64 detectors). Growing and thresholding methods, in their most general form, are not sufficient to extract only the whole coronary arteries, because of the properties of these images. Finding appropriate methods is known to be a challenging problem because of the data imperfections such as noise, heterogeneous intensity and contrasts of similar tissues. We deal with these challenges by employing discrete geometric tools to fit on the arteries form independently from any perturbation of the data.
Cited literature [6 references]
https://hal.univ-reims.fr/hal-01695000
Contributor : Nicolas Passat <>
Submitted on : Wednesday, January 31, 2018 - 1:56:28 PM
Last modification on : Thursday, April 23, 2020 - 2:26:35 PM
Document(s) archivé(s) le : Tuesday, May 1, 2018 - 12:23:33 PM
Contributor : Nicolas Passat <>
Submitted on : Wednesday, January 31, 2018 - 1:56:28 PM
Last modification on : Thursday, April 23, 2020 - 2:26:35 PM
Document(s) archivé(s) le : Tuesday, May 1, 2018 - 12:23:33 PM
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