title: Quantifying stenosis in renal arteriograms: a fuzzy syntactic analysis.
abstract: The introduction of fuzzy logic improves a system for the automatic quantification of renal artery lesions seen in digital subtraction angiograms. A two-step approach has been followed. An earlier system based on non-fuzzy syntactic analysis provided a clear symbolic description of the stenotic lesions. Although this system worked correctly, it did not take into account the variability and uncertainty inherent to image processing and to knowledge on the reference diameter. This system has been improved by the introduction of fuzzy logic in the representation of the reference diameter. It provides a description of the stenosis in terms of fuzzy quantities. To illustrate the benefits of the fuzzy approach, the results of the two systems have been compared by plotting the differences of an index of variability. It appears that the differences are statistically different when using a two-tailed paired t-test (t = 2.37; p = 0.025). The result shows that the fuzzy approach is better than a non-fuzzy approach in the sense that the index of variability is reduced significantly.
authors.affiliation: Laboratoire de Biophysique, Faculté de Médecine, Université de Bourgogne, Dijon, France.
authors.forename: A
authors.initials: A
authors.lastname: Lalande
authors.forename: M C
authors.initials: MC
authors.lastname: Jaulent
authors.forename: I
authors.initials: I
authors.lastname: Cherrak
authors.forename: F
authors.initials: F
authors.lastname: Brunotte
authors.forename: P
authors.initials: P
authors.lastname: Degoulet
mesh_terms: D015901:Angiography, Digital Subtraction; D017143:Fuzzy Logic; D006801:Humans; D011857:Radiographic Image Interpretation, Computer-Assisted; D012077:Renal Artery / Q000000981:diagnostic imaging*; D012078:Renal Artery Obstruction / Q000000981:diagnostic imaging*