Open AccessAN IMAGING-DRIVEN, MECHANICAL DEFORMATION-COUPLED REACTION-DIFFUSION MODEL FOR DESCRIBING TUMOR DEVELOPMENT
Author(s) -
Anna Claudia M. Resende,
Rafael Alves Bonfim de Queiroz,
Ernesto A. B. F. Lima,
Gustavo Taiji Naozuka,
Regina C. Almeida
Publication year - 2020
Publication title -
revista mundi engenharia, tecnologia e gestão
Language(s) - English
Resource type - Journals
ISSN - 2525-4782
DOI - 10.21575/25254782rmetg2020vol5n21142
Subject(s) - deformation (meteorology) , breast tumor , in vivo , optical flow , diffusion , work (physics) , flow (mathematics) , breast cancer , human breast , materials science , computer science , mechanics , cancer , physics , computer vision , mechanical engineering , biology , composite material , image (mathematics) , engineering , genetics , thermodynamics , microbiology and biotechnology
Compressive stresses play important roles on tumor cells proliferation and invasion. In this work we propose to inform a tumor growth model with the recovered deformation coming from in vivo imaging data. We investigated the use of an optical flow technique, the well known Lucas-Kanade method, to capture tumor deformation in a synthetic experimental breast cancer setting. We compare displacements and stresses obtained with this method with those derived from a previously developed reaction-diffusion model with mechanical deformation. We show that the considered optical flow technique may capture deformations appearing in breast cancers, being a useful alternative to integrate in vivo data to mathematical tumor models.