A hybrid feature-based patient-to-image registration method for robot-assisted long bone osteotomy.

Journal: International journal of computer assisted radiology and surgery
Published Date: Sep 1, 2021

Abstract

PURPOSE: The purpose of this study is to provide a simple, feasible and effective patient-to-image registration method for robot-assisted long bone osteotomy, which has rarely been systematically reported. The practical requirement is to meet the accuracy of 1 mm or even higher without bone-implanted markers.

Authors

  • Chunlei Zhang
    Center for Robust Speech Systems (CRSS), The University of Texas at Dallas, 800 West Campbell Road, Richardson, Texas 75080, USA.
  • Yu Liu
    Research Center of Information Technology, Beijing Academy of Agriculture and Forestry Science, Beijing, China.
  • Yunguang Zhang
    Shenyang Xingwen Technology Co., Ltd, Shenyang, China.
  • He Li
    National Soybean Processing Industry Technology Innovation Center, Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University Beijing 100048 China lihe@btbu.edu.cn liuxinqi@btbu.edu.cn.

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