Evidence map›Paper›PMID 31035379›Full record

ArticleSensors (Basel, Switzerland)2019

New Calibrator with Points Distributed Conical Helically for Online Calibration of C-Arm.

Na Guo, Biao Yang, Yuhan Wang, Hongsheng Liu, Lei Hu, Tianmiao Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. 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. A fully automatic fiducial detection and correspondence establishing method for online C-arm calibration.International journal of computer assisted radiology and surgery · 2025
    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

6 authors.

Na GuoSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100083, China. guona004@buaa.edu.cn.ORCID 0000-0001-5985-5669
Biao YangSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100083, China. ybWipper@buaa.edu.cn.
Yuhan WangSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100083, China. zy1707608@buaa.edu.cn.
Hongsheng LiuSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100083, China. liuhs@buaa.edu.cn.
Lei HuSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100083, China. hulei9971@sina.com.
Tianmiao WangSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100083, China. wtm_itm@263.net.

Funding

National Hi-Tech Research and Development Program of China 2015AA043204National Natural Science Foundation of China under 61333019
6 · The paper itself

Abstract

To improve the accuracy of calibration of C-arm, and overcome the space limitation in surgery, we proposed a new calibrator for online calibration of C-arm. After the image rectification by a polynomial fitting-based global correction method, the C-arm was assumed as an ideal pinhole model. The relationships between two kinds of spatial calibration errors and the distribution of fiducial points were studied: the performance of FRE (Fiducial Registration Error) and TRE (Target Registration Error) were not consistent, but both were best at the 12 marked points; the TRE decreased with the increase of the uniformity of calibration points distribution, and with the decrease of the distance between the target point and the center of calibration points. A calibrator with 12 fiducial points conical helically distributed, which could be placed on the knee, was an attractive option. A total of 10 experiments on C-arm calibration accuracy were conducted and the mean value of mapping error was 0.41 mm. We designed an ACL reconstruction navigation system and carried out specimen experiments on 4 pairs of dry femur and tibia. The mean accuracy of navigation system was 0.85 mm, which is important to the tunnel positioning for ACL reconstruction.

Indexed as

ACL reconstructioncalibration erroronline C-arm calibration methodsurgical navigation system

Identifiers

PMID31035379
PMCPMC6539996

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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.