Open AccessModelling Soft Tissue Deformation Based on Spatial Kriging
Author(s) -
Mengxiao Zhao,
Dedong Gao,
Shijian Zhao,
Linze Wang,
Lirong Li
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/646/1/012021
Subject(s) - kriging , interpolation (computer graphics) , displacement (psychology) , variance (accounting) , deformation (meteorology) , computer science , mathematics , statistics , algorithm , geology , artificial intelligence , motion (physics) , psychology , oceanography , accounting , business , psychotherapist
People can only obtain incomplete information when needle get into soft tissue. The actual conditions limit monitoring results. The kriging, as a statistical interpolation method, can effectively transform discrete point information into facial continuous information. On the basis of displacement data of pork soft tissue, the correlation parameter setting and optimal semi-variance model selection of kriging were studied to determine the kriging interpolation results. The results show that the accuracy of the kriging model can reach millimetre level, the maximum error is about 0.8mm, the average standard error is 0.35mm, and the calculation is simple. It can help doctors provide references when the soft tissue cannot be directly observed, and predict the deformation within the soft tissue.