The geometric evolution of aortic dissections: Predicting surgical success using fluctuations in integrated Gaussian curvature
Fig 8
Fits Power Law Distribution while Size is Gaussian.
Probability distributions of δK and Rm are plotted. A. The δK distribution is fitted to a power law in the form P = axb + c. C. A linear fit logP = blogδK + c achieves a high R2. B. The Rm distribution is well-fit to a two-term Gaussian in the form . D. When a linear fit is applied to the log-transformed data, logP = blogRm + c, a low R2 value results.