Abstract
In this paper we address the problem of finding similar coronary angiograms from a database of angiograms using a new constrained nonrigid shape model for the description of coronary arteries. The model captures the non-rigid variations in the artery shapes while still preserving the overall perceptual spatial layout based on the articulation constraints between arteries. Shape matching involves testing for class membership using the constraints specified in the model. The shape similarity method is demonstrated in a similarity retrieval application on a large database of angiogram images.
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Syeda-Mahmood, T., Compas, C.B., Beymer, D., Kumar, R. (2013). Similarity Retrieval of Angiogram Images BASED on a Flexible Shape Model. In: Ourselin, S., Rueckert, D., Smith, N. (eds) Functional Imaging and Modeling of the Heart. FIMH 2013. Lecture Notes in Computer Science, vol 7945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38899-6_12
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DOI: https://doi.org/10.1007/978-3-642-38899-6_12
Publisher Name: Springer, Berlin, Heidelberg
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