Evidence map›Paper›PMID 33746640›Full record

ArticleIEEE transactions on automation science and engineering : a publication of the IEEE Robotics and Automation Society2020

Camera-Robot Calibration for the da Vinci® Robotic Surgery System.

Orhan Özgüner, Thomas Shkurti, Siqi Huang, Ran Hao, Russell C Jackson, Wyatt S Newman, M Cenk Çavuşoğlu

Abstract read
In one paragraph

Article in IEEE transactions on automation science and engineering : a publication of the IEEE Robotics and Automation Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Long-term oncological outcomes of 3D versus 2D laparoscopic gastrectomy for gastric cancer: a randomized clinical trial.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024
    Trial
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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

7 authors.

Orhan ÖzgünerDepartment of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH.
Thomas ShkurtiDepartment of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH.
Siqi HuangDepartment of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH.
Ran HaoDepartment of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH.
Russell C JacksonDepartment of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH.
Wyatt S NewmanDepartment of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH.
M Cenk ÇavuşoğluDepartment of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH.

Funding

NRI: Small: Magnetic Resonance Imaging Guided Co-Robotic Active Catheter SystemR01EB018108 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI CAVUSOGLU, M. CENK · 2013 to 2016
$1.3M
NIBIB NIH HHS R01 EB018108
6 · The paper itself

Abstract

The development of autonomous or semi-autonomous surgical robots stands to improve the performance of existing teleoperated equipment, but requires fine hand-eye calibration between the free-moving endoscopic camera and patient-side manipulator arms (PSMs). A novel method of solving this problem for the da Vinci® robotic surgical system and kinematically similar systems is presented. First, a series of image-processing and optical-tracking operations are performed to compute the coordinate transformation between the endoscopic camera view frame and an optical-tracking marker permanently affixed to the camera body. Then, the kinematic properties of the PSM are exploited to compute the coordinate transformation between the kinematic base frame of the PSM and an optical marker permanently affixed thereto. Using these transformations, it is then possible to compute the spatial relationship between the PSM and the endoscopic camera using only one tracker snapshot of the two markers. The effectiveness of this calibration is demonstrated by successfully guiding the PSM end effector to points of interest identified through the camera. Additional tests on a surgical task, namely grasping a surgical needle, are also performed to validate the proposed method. The resulting visually-guided robot positioning accuracy is better than the earlier hand-eye calibration results reported in the literature for the da Vinci® system, while supporting intraoperative update of the calibration and requiring only devices that are already commonly used in the surgical environment.

Indexed as

da Vinci Research Kit (dVRK)Medical Robots and SystemsSurgical Robotics: Laparoscopy

Identifiers

PMID33746640
PMCPMC7978174

What OpenQuestion holds

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Registered trials

None linked

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.