Paper Info
Title
Fractal Analysis of Elastographic Images for Automatic Detection of Diffuse Diseases of Salivary Glands: Preliminary Results.
Abstract
The geometry of some medical images of tissues, obtained by elastography and ultrasonography, is characterized in terms of complexity parameters such as the fractal dimension (FD). It is well known that in any image there are very subtle details that are not easily detectable by the human eye. However, in many cases like medical imaging diagnosis, these details are very important since they might contain some hidden information about the possible existence of certain pathological lesions like tissue degeneration, inflammation, or tumors. Therefore, an automatic method of analysis could be an expedient tool for physicians to give a faultless diagnosis. The fractal analysis is of great importance in relation to a quantitative evaluation of "real-time" elastography, a procedure considered to be operator dependent in the current clinical practice. Mathematical analysis reveals significant discrepancies among normal and pathological image patterns. The main objective of our work is to demonstrate the clinical utility of this procedure on an ultrasound image corresponding to a submandibular diffuse pathology.
Year
DOI
Venue
2013
10.1155/2013/347238
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
Keywords
Field
DocType
computational biology,fractals
Fractal analysis,Medical imaging,Computer science,Pathological,Artificial intelligence,Elastography,Pathology,Human eye,Computer vision,Elasticity Imaging Techniques,Pattern recognition,Fractal dimension,Fractal
Journal
Volume
ISSN
Citations 
2013
1748-670X
0
PageRank 
References 
Authors
0.34
1
8
Name
Order
Citations
PageRank
Alexandru Florin Badea100.34
Monica Lupsor Platon200.34
Maria Crişan372.25
Carlo Cattani49226.22
Iulia Badea500.34
Gaetano Pierro610.96
Gianpaolo Sannino753.53
Grigore Baciut800.34