Theoretical error analysis of spotlight-based instrument localization for retinal surgery

Mingchuan Zhou, Felix Hennerkes, Jingsong Liu, Zhongliang Jiang, Thomas Wendler, M. Ali Nasseri, Iulian Iordachita, Nassir Navab

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Retinal surgery is widely considered to be a complicated and challenging task even for specialists. Image-guided robot-assisted intervention is among the novel and promising solutions that may enhance human capabilities therein. In this paper, we demonstrate the possibility of using spotlights for 5D guidance of a microsurgical instrument. The theoretical basis of the localization for the instrument based on the projection of a single spotlight is analyzed to deduce the position and orientation of the spotlight source. The usage of multiple spotlights is also proposed to check the possibility of further improvements for the performance boundaries. The proposed method is verified within a high-fidelity simulation environment using the 3D creation suite Blender. Experimental results show that the average positioning error is 0.029 mm using a single spotlight and 0.025 mm with three spotlights, respectively, while the rotational errors are 0.124 and 0.101, which shows the application to be promising in instrument localization for retinal surgery.

Original languageEnglish
Pages (from-to)1536-1549
Number of pages14
Issue number5
StatePublished - 26 May 2023


  • image-guided surgery
  • needle pose estimation
  • retinal surgery


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