Shear wave speed estimation by adaptive random sample consensus method
Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 2nd International Conference on Biomedical Engineering and Biotechnology, 11–13 October 2013, Wuhan, China
Affiliations: Department of biomedical engineering, School of biomedical engineering and instrument science, Zhejiang University, Hangzhou 310029, China | Department of biomedical engineering, School of medicine, Shenzhen University, Shenzhen 518060, China | National-regional key technology engineering laboratory for medical ultrasound, Shenzhen, China | Guangdong key laboratory for biomedical measurement and ultrasound imaging, Shenzhen, China
Note: [] Coresspondig author.
Abstract: This paper describes a new method for shear wave velocity estimation that is capable of extruding outliers automatically without preset threshold. The proposed method is an adaptive random sample consensus (ARANDSAC) and the metric used here is finding the certain percentage of inliers according to the closest distance criterion. To evaluate the method, the simulation and phantom experiment results were compared using linear regression with all points (LRWAP) and radon sum transform (RS) method. The assessment reveals that the relative biases of mean estimation are 20.00%, 4.67% and 5.33% for LRWAP, ARANDSAC and RS respectively for simulation, 23.53%, 4.08% and 1.08% for phantom experiment. The results suggested that the proposed ARANDSAC algorithm is accurate in shear wave speed estimation.
