Mathematical modeling of brain glioma growth using modified reaction-diffusion equation on brain MR images

Authors:
Jianjun Yuan;Lipei Liu;Qingmao Hu
Affiliations:
-;-;-
Venue:
Computers in Biology and Medicine
Year:
2013

Citing 2
Cited 0

Minimization of Region-Scalable Fitting Energy for Image Segmentation

IEEE Transactions on Image Processing
Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas

Computer Vision and Image Understanding

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Abstract

In this paper, a modified reaction-diffusion model is proposed for modeling the diffusion of brain glioma cells. Unlike the other models, a weighted parameter is introduced, which balances the diffusion coefficient of the grey and white matters. Anisotropic characteristics of the model are represented. A local region similarity measure (local Bhattacharyya distance) determines the weighted parameter. Experimental results demonstrate the effectiveness and accuracy of the modified reaction diffusion equation with a weighted parameter for real brain glioma MR images.