Contrary to popular opinion, shoe insoles have significant impact on foot, back, and spine health. A well-designed shoe insole made from an appropriate material can improve the plantar stress distribution and also reduce the peak plantar stress. This is a long-standing problem which has attracted many researchers who have taken both experimental and analytical approaches to the study of shoe insoles. In this research, in order to solve such a problem for a 55-year-old man weighing 90 kg, the finite element analysis method has been employed. To do so, first cross-sectional DICOM (Digital Imaging and Communications in Medicine) images of the right foot of the study subject were taken by the computerized tomography (CT) scan, then the 3D model of the foot created using Mimics which is an advanced medical image processing software. Also, the model of the shoe insole which is of the type TCI (Total Contact Insole) is generated based on the foot shape in CATIA. Finally, the two models were assembled in the ABAQUS software to evaluate the effects of different Young’s moduli of the shoe insole on the plantar stress distribution. The results show that the soft shoe insole (E=0.3 MPa) compared to the two other cases of stiff shoe insole (E=1000 MPa) and rigid shoe insole, reduces the maximum plantar stress by 0.02 MPa. Keywords: Shoe insole, Plantar stress distribution, Mimics, Foot model, Finite element analysis