Evidence map›Paper›PMID 36502167›Full record

ArticleSensors (Basel, Switzerland)2022

Ultrasound Probe and Hand-Eye Calibrations for Robot-Assisted Needle Biopsy.

Jihao Liu, Wenyuan Sun, Yuyun Zhao, Guoyan Zheng

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Jihao LiuInstitute of Medical Robotics, School of Medical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-0639-5950
Wenyuan SunInstitute of Medical Robotics, School of Medical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-6049-7843
Yuyun ZhaoInstitute of Medical Robotics, School of Medical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0003-0422-6077
Guoyan ZhengInstitute of Medical Robotics, School of Medical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0003-4173-0379

Funding

National Natural Science Foundation of China U20A20199Shanghai Municipal Science and Technology Commission 20511105205
6 · The paper itself

Abstract

In robot-assisted ultrasound-guided needle biopsy, it is essential to conduct calibration of the ultrasound probe and to perform hand-eye calibration of the robot in order to establish a link between intra-operatively acquired ultrasound images and robot-assisted needle insertion. Based on a high-precision optical tracking system, novel methods for ultrasound probe and robot hand-eye calibration are proposed. Specifically, we first fix optically trackable markers to the ultrasound probe and to the robot, respectively. We then design a five-wire phantom to calibrate the ultrasound probe. Finally, an effective method taking advantage of steady movement of the robot but without an additional calibration frame or the need to solve the AX=XB equation is proposed for hand-eye calibration. After calibrations, our system allows for in situ definition of target lesions and aiming trajectories from intra-operatively acquired ultrasound images in order to align the robot for precise needle biopsy. Comprehensive experiments were conducted to evaluate accuracy of different components of our system as well as the overall system accuracy. Experiment results demonstrated the efficacy of the proposed methods.

Indexed as

RoboticsBiopsy, NeedleHandUltrasonographyUpper Extremitybiopsycalibrationhand-eyerobot-assistedultrasound guided

Identifiers

PMID36502167
PMCPMC9740029

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.