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

Volume

13

Issue

4

fYear

2009

fDate

7/1/2009 12:00:00 AM

Firstpage

629

Lastpage

635

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;

fLanguage

English

Journal_Title

Information Technology in Biomedicine, IEEE Transactions on

Publisher

ieee

ISSN

1089-7771

Type

jour

DOI

10.1109/TITB.2009.2019638

Filename

4814670