Volume 47, No. 02, Month APRIL, Year 2021, Pages 241 - 250

A diffusion model of 18f-fdopa in the diagnosis of parkinson s disease and its numerical simulation

Printaporn Sanguansuttigul, Teerapol Saleewong, Kitiwat Khamwan, Saknan Bongsebandhu-phubhakdi

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This research aims to study the concentration change of the radioactive substance 18F-FDOPA, which is the key method to diagnose the Parkinson’s disease (PD), using the diffusion equation. The model aims at approximating the concentration over the brain region called striatum. From the PET/CT images of the whole brain, the striatum site was segmented using the Otsu’s method. The region obtained from the segmentation is then used as the domain for our diffusion model. We then adopt the ADI method of [17] to the non-rectangular domain. The diffusion parameters are improved by mean of the pattern search method to best fit with the true data. After comparing the numerical solution at the final timestep with the actual data, we can finally be positive that our diffusion model is consistent with the actual data and lead to the same diagnosis of the Parkinson’s disease.


diffusion model, Parkinson’s disease, ADI method, image segmentation


Published by : The Science Society of Thailand
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