Abstract
We introduce two new approaches for 3D segmentation of coronary arteries. The first approach is based on local intensity maxima and is computationally very efficient as well as yields superior results than standard thresholding. The second approach is based on semi-global intensity models, which are directly fit to the image intensities through an incremental process based on a Kalman filter. The approaches have been successfully applied to segment both large-size and small-size coronary arteries from 3D MR image data.
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Gong, R.H., Wörz, S., Rohr, K. (2003). Segmentation of Coronary Arteries of the Human Heart from 3D Medical Images. In: Wittenberg, T., Hastreiter, P., Hoppe, U., Handels, H., Horsch, A., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2003. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18993-7_14
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DOI: https://doi.org/10.1007/978-3-642-18993-7_14
Publisher Name: Springer, Berlin, Heidelberg
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