Evidence map›Paper›PMID 32476703›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2020

Calibration and Registration of a Freehand Video-Guided Surgical Drill for Orthopaedic Trauma.

P Vagdargi, A Uneri, N Sheth, A Sisniega, T De Silva, G M Osgood, J H Siewerdsen

Open access · greenAbstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Drill-mounted video guidance for orthopaedic trauma surgery.Journal of medical imaging (Bellingham, Wash.) · 2021
    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

7 authors at 1 institution in 1 country.

P VagdargiDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21218.
A UneriDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA 21218.
N ShethDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA 21218.
A SisniegaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA 21218.
T De SilvaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA 21218.
G M OsgoodDepartment of Orthopedic Surgery, Johns Hopkins Medicine, Baltimore, MD, USA 21218.
J H SiewerdsenDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21218.
Johns Hopkins University · US

Funding

Imaging, Guidance, and QA for Emerging High-Precision Neurosurgical TechniquesU01NS107133 · NINDS · JOHNS HOPKINS UNIVERSITY · PI SIEWERDSEN, JEFFREY H, UNERI, ALI · 2019 to 2023
$3.3M
Computer Vision-Based Navigation System for High-Precision Orthopedic Trauma SurgeryR21EB028330 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI SIEWERDSEN, JEFFREY H · 2019 to 2020
$443k
NIBIB NIH HHS R21 EB028330NINDS NIH HHS U01 NS107133
6 · The paper itself

Abstract

Pelvic trauma surgical procedures rely heavily on guidance with 2D fluoroscopy views for navigation in complex bone corridors. This "fluoro-hunting" paradigm results in extended radiation exposure and possible suboptimal guidewire placement from limited visualization of the fractures site with overlapped anatomy in 2D fluoroscopy. A novel computer vision-based navigation system for freehand guidewire insertion is proposed. The navigation framework is compatible with the rapid workflow in trauma surgery and bridges the gap between intraoperative fluoroscopy and preoperative CT images. The system uses a drill-mounted camera to detect and track poses of simple multimodality (optical/radiographic) markers for registration of the drill axis to fluoroscopy and, in turn, to CT. Surgical navigation is achieved with real-time display of the drill axis position on fluoroscopy views and, optionally, in 3D on the preoperative CT. The camera was corrected for lens distortion effects and calibrated for 3D pose estimation. Custom marker jigs were constructed to calibrate the drill axis and tooltip with respect to the camera frame. A testing platform for evaluation of the navigation system was developed, including a robotic arm for precise, repeatable, placement of the drill. Experiments were conducted for hand-eye calibration between the drill-mounted camera and the robot using the Park and Martin solver. Experiments using checkerboard calibration demonstrated subpixel accuracy [-0.01 ± 0.23 px] for camera distortion correction. The drill axis was calibrated using a cylindrical model and demonstrated sub-mm accuracy [0.14 ± 0.70 mm] and sub-degree angular deviation.

Indexed as

augmented realitycomputer visionImage-guided surgeryintraoperative imagingorthopaedic trauma

Identifiers

PMID32476703
PMCPMC7261389
OpenAlexW3010986121

What OpenQuestion holds

Textmetadata
LicenceTDM
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.