0000000000605992
AUTHOR
S. Brugger
Estimating the Patient-Specific Relative Stiffness Between a Hepatic Lesion and the Liver Parenchyma
This paper presents a novel non-invasive methodology to obtain the patient-specific relative stiffness between a hepatic lesion and the liver parenchyma in vivo. This relative stiffness can be used as a biomarker about the type of lesion. This biomarker together with the rest of pathological information can be used to plan a biopsy, an image-guide intervention or a radiation therapy. This relative stiffness is estimated by means of the finite element simulation of the breathing process, which is embedded in an optimization routine based on genetic algorithms. This routine was aimed at finding the patient-specific relative stiffness between a hepatic lesion and the liver parenchyma for the p…
Estimation of the elastic parameters of human liver biomechanical models by means of medical images and evolutionary computation.
This paper presents a method to computationally estimate the elastic parameters of two biomechanical models proposed for the human liver. The method is aimed at avoiding the invasive measurement of its mechanical response. The chosen models are a second order Mooney–Rivlin model and an Ogden model. A novel error function, the geometric similarity function (GSF), is formulated using similarity coefficients widely applied in the field of medical imaging (Jaccard coefficient and Hausdorff coefficient). This function is used to compare two 3D images. One of them corresponds to a reference deformation carried out over a finite element (FE) mesh of a human liver from a computer tomography image, …