Evidence map›Paper›PMID 37982126›Full record

ArticleRobotica2023

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

Abstract read
In one paragraph

Article in Robotica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mingchuan ZhouCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.ORCID 0000-0002-6944-1483
Felix HennerkesChair for Computer Aided Medical Procedures and Augmented Reality, Computer Science Department, Technische Universität München, Munchen, Germany.
Jingsong LiuChair for Computer Aided Medical Procedures and Augmented Reality, Computer Science Department, Technische Universität München, Munchen, Germany.
Zhongliang JiangChair for Computer Aided Medical Procedures and Augmented Reality, Computer Science Department, Technische Universität München, Munchen, Germany.
Thomas WendlerChair for Computer Aided Medical Procedures and Augmented Reality, Computer Science Department, Technische Universität München, Munchen, Germany.
M Ali NasseriAugenklinik und Poliklinik, Klinikum rechts der Isar der Technische Universität München, München, Germany.
Iulian IordachitaDepartment of Mechanical Engineering and Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.
Nassir NavabChair for Computer Aided Medical Procedures and Augmented Reality, Computer Science Department, Technische Universität München, Munchen, Germany.

Funding

Enabling Technology for Safe Robot-assisted Surgical MicromanipulationR01EB023943 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI GEHLBACH, PETER LOUIS, IORDACHITA, IULIAN IOAN · 2017 to 2024
$2.3M
Enabling technology for image-guided robot-assisted sub-retinal injectionsR01EB025883 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI IORDACHITA, IULIAN IOAN · 2019 to 2021
$1.5M
NIBIB NIH HHS R01 EB023943NIBIB NIH HHS R01 EB025883
6 · The paper itself

Abstract

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.

Indexed as

image-guided surgeryneedle pose estimationretinal surgery

Identifiers

PMID37982126
PMCPMC10655674

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.