Abstract
Cardiovascular diseases are the first cause of deaths all over the world and therefore, researches in modern medical image processing aim at developing reliable and robust medical tools to assist clinicians in vessel extraction, motion detection and 3D reconstruction. Vessel extraction is an important non trivial step which depends extremely in the used enhancement method. Multiscale-based vessel enhancement methods are very famous. These methods are based on the analysis of the Hessian matrix at multiple scales in a linear normalized scale space to define a filter using a vesselness measure which is the likelihood of a point belonging to a vessel. The purpose of the present paper is to conduct a comparative study between four well-cited filters using different approaches. Hence, we propose methods for evaluating those filters performance in terms of noise sensitivity and the behavior of each filter at junctions, for nearby vessels and thin vessels.
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Kerkeni, A., Benabdallah, A., Bedoui, M.H. (2013). Coronary Artery MultiScale Enhancement Methods: A Comparative Study. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2013. Lecture Notes in Computer Science, vol 7950. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39094-4_58
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DOI: https://doi.org/10.1007/978-3-642-39094-4_58
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