DocumentCode :
1124559
Title :
A modeling approach for burn scar assessment using natural features and elastic property
Author :
Zhang, Yong ; Goldgof, Dmitry B. ; Sarkar, Sudeep ; Tsap, Leonid V.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA
Volume :
23
Issue :
10
fYear :
2004
Firstpage :
1325
Lastpage :
1329
Abstract :
A modeling approach is presented for quantitative burn scar assessment. Emphases are given to: 1) constructing a finite-element model from natural image features with an adaptive mesh and 2) quantifying the Young´s modulus of scars using the finite-element model and regularization method. A set of natural point features is extracted from the images of burn patients. A Delaunay triangle mesh is then generated that adapts to the point features. A three-dimensional finite-element model is built on top of the mesh with the aid of range images providing the depth information. The Young´s modulus of scars is quantified with a simplified regularization functional, assuming that the knowledge of the scar´s geometry is available. The consistency between the relative elasticity index and the physician´s rating based on the Vancouver scale (a relative scale used to rate burn scars) indicates that the proposed modeling approach has high potential for image-based quantitative burn scar assessment.
Keywords :
Young´s modulus; biomechanics; biomedical optical imaging; elasticity; feature extraction; medical image processing; mesh generation; physiological models; skin; Delaunay triangle mesh; Vancouver scale; Young modulus; adaptive mesh; burn patients; burn scar assessment; elastic property; finite-element model; modeling approach; natural image features; natural point feature extraction; regularization method; relative elasticity index; Biomedical measurements; Computer science; Elasticity; Finite element methods; Magnetic noise; Magnetic resonance imaging; Mesh generation; Motion measurement; Skin; Ultrasonic variables measurement; Algorithms; Burns; Cicatrix; Cluster Analysis; Computer Simulation; Elasticity; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Models, Biological; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Severity of Illness Index; Skin;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2004.834625
Filename :
1339438
Link To Document :
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