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.
Keywords
Fuzzy Logic - Syntactic Analysis - Renal Arteriogram Quantification - Stenosis
