title: Fractal and multifractal analysis: a review.
abstract: Over the last years, fractal and multifractal geometries were applied extensively in many medical signal (1D, 2D or 3D) analysis applications like pattern recognition, texture analysis and segmentation. Application of this geometry relies heavily on the estimation of the fractal features. Various methods were proposed to estimate the fractal dimension or multifractal spectral of a signal. This article presents an overview of these algorithms, the way they work, their benefits and their limits. The aim of this review is to explain and to categorize the various algorithms into groups and their application in the field of medical signal analysis.
authors.affiliation: Inserm, U703, Pavillon Vancostenobel, CHRU Lille, Lille Cedex 59037, France.
authors.forename: R
authors.initials: R
authors.lastname: Lopes
authors.forename: N
authors.initials: N
authors.lastname: Betrouni
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D017709:Fractals; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity