Evidence map›Paper›PMID 35958826›Full record

ArticleBioMed research international2022

Study on Key Technologies of Virtual Interactive Surgical Simulation for 3D Reconstruction of Medical Images.

Feng Qiu, Qingfu Zhu, Ke Jing, Yufei Duan

RetractedAbstract readRetracted Publication
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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

5 · Who and what money

Authors and funding

4 authors.

Feng QiuInstitute of AI Education, Shanghai Normal University, Shanghai 200233, China.ORCID https://orcid.org/0000-0001-9746-823X
Qingfu ZhuInstitute of AI Education, Shanghai Normal University, Shanghai 200233, China.ORCID https://orcid.org/0000-0002-3130-4360
Ke JingInstitute of AI Education, Shanghai Normal University, Shanghai 200233, China.ORCID https://orcid.org/0000-0002-8039-1907
Yufei DuanInstitute of AI Education, Shanghai Normal University, Shanghai 200233, China.ORCID https://orcid.org/0000-0002-7055-0863

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical computed tomography (CT), nuclear magnetic resonance imaging (MRI), and other imaging facility produce a large amount of medical image data which has great diagnosis value. Traditional three-dimensional reconstruction of medical images has high requirements for graphics acceleration hardware and the processing speed. In this study, VxWorks embedded real-time process feature is used for CT or MRI DICOM data to real restoration and establishment of virtual three-dimensional model for realizing volume reconstruction, maximum density projection, multiplane reconstruction, dynamic interactive cutting of any surface, dynamic display of three-dimensional model and two-dimensional sectional image, surgical path planning and interactive surgical simulation, and determine the best surgical scheme. The practical application shows that the virtual simulation environment supports the seamless transplantation of code, function debugging, and interaction and solves the issue of high requirements for hardware. It can meet the needs of scientific research and teaching for clinicians and medical imaging workers and can be widely used in the training of virtual surgical anatomy for medical students.

Indexed as

Imaging, Three-DimensionalStudents, MedicalComputer SimulationHumansMagnetic Resonance ImagingTomography, X-Ray Computed

Identifiers

PMID35958826
PMCPMC9363218

What OpenQuestion holds

Textmetadata
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.