Comput. Biol. Med. - Mathematical modeling of brain glioma growth using modified reaction-diffusion equation on brain MR images.

Tópicos

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{ featur(1941) imag(1645) propos(1176) }
{ state(1844) use(1261) util(961) }
{ can(981) present(881) function(850) }
{ activ(1452) weight(1219) physic(1104) }
{ signal(2180) analysi(812) frequenc(800) }
{ result(1111) use(1088) new(759) }
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{ group(2977) signific(1463) compar(1072) }
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{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

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.

Resumo Limpo

paper modifi reactiondiffus model propos model diffus brain glioma cell unlik model weight paramet introduc balanc diffus coeffici grey white matter anisotrop characterist model repres local region similar measur local bhattacharyya distanc determin weight paramet experiment result demonstr effect accuraci modifi reaction diffus equat weight paramet real brain glioma mr imag

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