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Shape estimation of the anterior part of a flexible ureteroscope for intraoperative navigation.

Chongan ZhangChunyong HuZhongyu HeZuoming FuLixin XuGuoqing DingPeng WangHong ZhangXuesong Ye
Published in: International journal of computer assisted radiology and surgery (2022)
Based on data from two EM sensors mounted at the tip and base of the anterior part of a flexible ureteroscope, the proposed algorithm adaptively selects a cubic or quartic Bézier curve to fit the shape of the anterior part. Experimental results prove the feasibility of our shape estimation method over a broad bending range. The proposed method demonstrates significant potential for use in ureteroscopic navigation systems and robot-assisted surgery.
Keyphrases
  • robot assisted
  • minimally invasive
  • machine learning
  • coronary artery bypass
  • electronic health record
  • deep learning
  • big data
  • atrial fibrillation
  • percutaneous coronary intervention