String matching techniques for high-level primitive formation in 2-D vascular imaging.

Christine Toumoulin; Jorge Brieva; Jean-Jacques Bellanger; Huazhong Shu

doi:10.1109/titb.2003.821318

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PubMed · 15000356

String matching techniques for high-level primitive formation in 2-D vascular imaging.

Christine Toumoulin·Jorge Brieva·Jean-Jacques Bellanger·Huazhong Shu

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Abstract

This paper deals with a so-called "intermediate" description, in other words, the formation of high-level primitives in angiographies. The method is based on an attributed string matching technique capable to capture the shape similarities between low-level primitives (i.e., vessel contours and centerlines). After designing a multiparametric cost function, we propose a multiline pairing algorithm. In order to objectively evaluate its performances, results are first provided on simulated data and then on a set of coronarographic images, where it is shown that anatomically coherent entities like vessel segments and branches can be built, "objects" that can be further individually analyzed for clinical purpose.

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Algorithms Angiography Humans Imaging, Three-Dimensional Pattern Recognition, Automated Radiographic Image Enhancement Radiographic Image Interpretation, Computer-Assisted Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't

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Christine Toumoulin, Jorge Brieva, Jean-Jacques Bellanger, Huazhong Shu. 2003. String matching techniques for high-level primitive formation in 2-D vascular imaging.. https://doi.org/10.1109/titb.2003.821318

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