Efficient and reliable extraction of coronary artery centerline from computed tomography angiography data is a prerequisite for a variety of medical imaging applications. Many authors have combined minimum-cost path algorithms and vesselness measures to extract coronary centerlines. We propose a modular decomposition of this extraction process, in order to facilitate the implementation and comparison of different minimum-cost path strategies allowing users (radiologists and developers) to focus on subsequent image analysis tasks. Evaluation results show a good overlap (>84%), and small distances with regard to reference centerlines (on average, not larger than the voxel size) in multi-vendor datasets, for two combinations of algorithms that follow this framework. Therefore, it can serve as a starting point to subsequent image analysis stages that require coronary centerlines.
CITATION STYLE
Correa-Agudelo, E., Flórez-Valencia, L., Orkisz, M., Mouton, C., Dávila Serrano, E. E., & Hoyos, M. H. (2014). A modular workflow architecture for coronary centerline extraction in computed tomography angiography data. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8671, 155–162. https://doi.org/10.1007/978-3-319-11331-9_19
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