Abstract
In the paper a method of automatic localization of heart ventricles in CT images is presented. Analysis of their shape can be an important element of pulmonary embolism diagnosis. For that purpose active partitions, a generalization of active contour approach, was used with superpixel representation of image content. Active partitions, similarly to active contours, possess a natural ability to incorporate external experience into object localization process. It means that not only information contained in the image itself but also experience of the radiologist and the medical knowledge can be used to improve segmentation results.
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Acknowledgements
This project has been partly funded with support from National Science Centre, Republic of Poland, decision number DEC-2012/05/D/ST6/03091. Authors would like to also express their gratitude to Mr Cyprian Wolski, MD, from the Department of Radiology of Barlicki University Hospital in Lodz for making heart images available and sharing his medical knowledge.
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Tomczyk, A., Szczepaniak, P.S. (2018). Knowledge Based Active Partition Approach for Heart Ventricle Recognition. In: Kurzynski, M., Wozniak, M., Burduk, R. (eds) Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017. CORES 2017. Advances in Intelligent Systems and Computing, vol 578. Springer, Cham. https://doi.org/10.1007/978-3-319-59162-9_30
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