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Filtering and segmentation of 3D angiographic data: Advances based on mathematical morphology
2013
Medical Image Analysis
In the last 20 years, 3D angiographic imaging proved its usefulness in the context of various clinical applications. However, angiographic images are generally difficult to analyse due to their size and the fact that useful information is easily hidden in noise and artifacts. Therefore, there is an ongoing necessity to provide tools facilitating their visualization and analysis, while vessel segmentation from such images remains a challenging task. This article presents new vessel segmentation
doi:10.1016/j.media.2012.08.004
pmid:23168165
fatcat:c4q3vizqznerxpqeju7s3dwd5y