Research Article
Soft Tissue Deformation Estimation Model Based on Spatial-Temporal Kriging for Needle Insertion Procedure
@INPROCEEDINGS{10.1007/978-3-030-62205-3_1, author={Linze Wang and Juntao Zhang and Mengxiao Zhao and Dedong Gao}, title={Soft Tissue Deformation Estimation Model Based on Spatial-Temporal Kriging for Needle Insertion Procedure}, proceedings={Mobile Wireless Middleware, Operating Systems and Applications. 9th EAI International Conference, MOBILWARE 2020, Hohhot, China, July 11, 2020, Proceedings}, proceedings_a={MOBILWARE}, year={2020}, month={11}, keywords={Soft tissue Kriging Spatial-temporal Variogram}, doi={10.1007/978-3-030-62205-3_1} }- Linze Wang
Juntao Zhang
Mengxiao Zhao
Dedong Gao
Year: 2020
Soft Tissue Deformation Estimation Model Based on Spatial-Temporal Kriging for Needle Insertion Procedure
MOBILWARE
Springer
DOI: 10.1007/978-3-030-62205-3_1
Abstract
The percutaneous surgery needs to know the soft tissue deformation in real time, but the existing prediction model cannot solve the problem. As a statistical interpolation method, kriging can effectively characterize the transformation of discrete point information into continuous facial information, so it can alleviate this problem. The tissue displacement of each identifying point in chronological order is obtained through the image processing of the experiment, and the spatial-temporal variogram function is selected to adapt the properties of soft tissue deformation in the needle insertion process. The permanent of spatial-temporal kriging is obtained based on the variogram function model of space and time, and the average error is 0.5 mm. The correlation of time and space is considered in spatial-temporal kriging, so the accuracy is higher. The kriging model compared with the data of another group of experiments, the average deviation is 0.2 mm. The feasibility and practicability of the model are verified.
