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Mathematical modeling in quantification of [18F] FDG positron emission tomography images

Authors

DOI:

https://doi.org/10.5902/2179460X66979

Keywords:

Radiotracer, positron emission tomography (PET), reference region, kinetic modeling.

Abstract

Técnicas para localizar e quantificar o metabolismo da glicose no cérebro usando modelagem compartimental, resolvendo sistemas de equações diferenciais comuns, requerem uma função de entrada (função de entrada), Ca (t). Para evitar procedimentos invasivos, como a coleta de amostras de sangue arterial, é possível obter Ca (t) da equação diferencial ordinária de primeira ordem Cr´ (t) = K1Ca (t) -K2Cr (t), onde Cr (t) descreve a concentração do radiofármaco em uma região de referência. Cr (t) é construído a partir de dados obtidos pelo processamento de imagens geradas por tomografia por emissão de pósitron (PET) com radiotraçadores. Neste trabalho, as carótidas foram escolhidas como região de referência, e técnicas de regressão foram aplicadas visando ajustar os dados das curvas discretas de atividade (TAC) obtidos por imagens de PET com o radiofármaco fluorodeoxiglicose [18F] FDG.

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Author Biographies

Nadine Skolaude Timm, Pontifícia Universidade Católica do Rio Grande do Sul - Escola Politécnica

Nadine Skolaude Timm, student of Chemical Engineering (PUCRS).

Eliete Biasotto Hauser, Pontifícia Universidade Católica do Rio Grande do Sul - Escola Politécnica

Eliete Biasotto Hauser, Master in Mathematics, PhD in Applied Mathematics, PhD in Mechanical Engineering (UFRGS). Full Professor at the School of Technology (PUCRS) . Researcher in Applied Mathematics of the Brain Institute of Rio Grande do Sul (BraIns). 

References

Borelli, W. V. (2019). Correlação Entre Neuroimagem Molecular, Estrutural e Funcional em Superidosos. 143 f. Thesis (Doctorate) Programa de Pós-Graduação de Medicina e Ciências da Saúde da Pontifícia Universidade Católica do Rio Grande do Sul. Porto alegre.

Hauser,E.B.,Venturini,G.T.,Greggio,S.,Borelli,W.V.,Costa,J.C.(2019).Carotidarterialinputfunctionasaninverseproblem in kinetic modeling of [18]2−fluoro−2deoxy−Dglucose(FDG). Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 8, 2168-1171.

Hauser, E. B., Borelli, W. V., Costa, J. C. (2020). Biomechanical Model Improving Alzheimer’s. Disease. In: Redha Taiar, editor. Recent Advances in Biomechanics 77–91.Intech Open.

Oliveira, F. (2019). Modelo Logístico para Descrever as Atividades de Curvas Discretas Obtidas de Imagens PET com Radiofármaco[18F]FDGnumVolumedeInteressedasCarótidas.. 28 f. Dissertation (Lato sensu) Pontifícia Universidade Católica do Rio Grande do Sul Porto Alegre.

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Published

2021-11-08 — Updated on 2022-04-06

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How to Cite

Timm, N. S., & Hauser, E. B. (2022). Mathematical modeling in quantification of [18F] FDG positron emission tomography images. Ciência E Natura, 43, e6. https://doi.org/10.5902/2179460X66979 (Original work published November 8, 2021)

Issue

Vol. 43 (2021): Special Edition: X ERMAC RS

Section

Special Edition

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