Literature DB >> 26518060

Brain glioma growth model using reaction-diffusion equation with viscous stress tensor on brain MR images.

Jianjun Yuan1, Lipei Liu2.   

Abstract

In this paper, a new reaction-diffusion model with viscous stress tensor is proposed for modeling the diffusion and invasion of brain glioma cells, which is based on the model in Yuan J.J., Liu L., Hu Q.M. Mathematical modeling of brain glioma growth using modified reaction-diffusion equation on brain MR images. Comput Biol Med 2013;43:2007-2013. The corresponding parameters are computed. The viscous stress tensor is introduced into reaction-diffusion equation, and can describe more accurately the adhesion of gliomas and normal cells. The experimental results demonstrate the effectiveness and accuracy of the proposed reaction-diffusion equation with viscous stress tensor for real brain glioma MR images.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Anisotropic reaction-diffusion; Glioma cells; Glioma growth; Viscous stress tensor

Mesh:

Year:  2015        PMID: 26518060     DOI: 10.1016/j.mri.2015.10.012

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  4 in total

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Review 4.  Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries.

Authors:  Niklas Tillmanns; Avery E Lum; Gabriel Cassinelli; Sara Merkaj; Tej Verma; Tal Zeevi; Lawrence Staib; Harry Subramanian; Ryan C Bahar; Waverly Brim; Jan Lost; Leon Jekel; Alexandria Brackett; Sam Payabvash; Ichiro Ikuta; MingDe Lin; Khaled Bousabarah; Michele H Johnson; Jin Cui; Ajay Malhotra; Antonio Omuro; Bernd Turowski; Mariam S Aboian
Journal:  Neurooncol Adv       Date:  2022-06-14
  4 in total

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