Title :
Fuzzy Scaling Analysis of a Mouse Mutant With Brain Morphological Changes
Author :
Pham, Tuan D. ; Muller, C.C. ; Crane, Denis I.
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Univ. of New South Wales at the Australian Defence Force Acad., Canberra, ACT, Australia
fDate :
7/1/2009 12:00:00 AM
Abstract :
Scaling behavior inherently exists in fundamental biological structures, and the measure of such an attribute can only be known at a given scale of observation. Thus, the properties of fractals and power-law scaling have become attractive for research in biology and medicine because of their potential for discovering patterns and characteristics of complex biological morphologies. Despite the successful applications of fractals for the life sciences, the quantitative measure of the scale invariance expressed by fractal dimensions is limited in more complex situations, such as for histopathological analysis of tissue changes in disease. In this paper, we introduce the concept of fuzzy scaling and its analysis of a mouse mutant with postnatal brain morphological changes.
Keywords :
biology computing; brain; fractals; fuzzy systems; neurophysiology; Zellweger syndrome; fractals; fuzzy scaling analysis; mouse mutant; peroxisomal dysfunction; postnatal brain morphological changes; Fractals; Zellweger syndrome; fuzzy $c$ -means (FCMs); fuzzy sets (FCMs); mouse brains; peroxisomal dysfunction; scaling; Algorithms; Animals; Cerebellum; Disease Models, Animal; Fractals; Fuzzy Logic; Image Processing, Computer-Assisted; Mice; Mutation; Zellweger Syndrome;
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
DOI :
10.1109/TITB.2009.2019638