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Using fuzzy logic for morphological classification of IVUS-based plaques in diseased coronary artery in the context of flow-dynamics

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Abstract

Plaque morphology in a diseased coronary artery plays a significant role in the modification of the fluid flow characteristics. The plaque morphology of 42 patients who underwent IVUS (intravascular ultrasound) procedure was quantified by degree of membership in four fuzzy logic sets, which we refer as type I: protruding, type II: ascending, type III: descending, and type IV: diffuse. Of 42 cases, 28% were of type I, 18% type II, 20% type III and 23% type IV, 6% belonged to hybrid types (partial members of multiple types) and the remaining 5% did not fit in any category. The degree of membership is of significance as the inter-class blood flow patterns (those strongly members of the same set) are similar to each other compared to the intra-class behavior, indicating plaque morphology (shape of blockage) is an important metric in addition to the degree of stenosis to represent the flow characteristics in a diseased stenotic coronary artery.

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Acknowledgments

The IVUS measurements were performed by the medical imaging group at Cleveland Clinic foundation. The author would like to acknowledge Dr. Shoenhagen M.D. of the Cleveland Clinic foundation for providing valuable data. The author would like to acknowledge Dr. B. Hygriv Rao, Cardiologist, CARE Foundation, Hyderabad, India for his valuable input on this problem.

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Correspondence to Kiran Bhaganagar.

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Beaumont, R., Bhaganagar, K., Segee, B. et al. Using fuzzy logic for morphological classification of IVUS-based plaques in diseased coronary artery in the context of flow-dynamics. Soft Comput 14, 265–272 (2010). https://doi.org/10.1007/s00500-009-0401-9

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