Evidence map›Paper›PMID 33763632›Full record

ArticleIEEE transactions on medical robotics and bionics2020

Fiducial-Free 2D/3D Registration for Robot-Assisted Femoroplasty.

Cong Gao, Amirhossein Farvardin, Robert B Grupp, Mahsan Bakhtiarinejad, Liuhong Ma, Mareike Thies, Mathias Unberath, Russell H Taylor, Mehran Armand

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on medical robotics and bionics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering.Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2024
    Article
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  11. Towards 2D/3D Registration of the Preoperative MRI to Intraoperative Fluoroscopic Images for Visualization of Bone Defects.Computer methods in biomechanics and biomedical engineering. Imaging & visualization · 2023
    Article
  12. Fluoroscopy-Guided Robotic System for Transforaminal Lumbar Epidural Injections.IEEE transactions on medical robotics and bionics · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration.International journal of computer assisted radiology and surgery · 2020
    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

9 authors at 3 institutions in 3 countries.

Cong GaoDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21211.
Amirhossein FarvardinDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA 21211.
Robert B GruppDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21211.
Mahsan BakhtiarinejadDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA 21211.
Liuhong MaDepartment of Cranio-maxillo-facial Surgery Center, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHN,100144.
Mareike ThiesPattern Recognition Lab, Friedrich-Alexander-Universitt Erlangen-Nrnberg, Erlangen, Germany 91058.
Mathias UnberathDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21211.
Russell H TaylorDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21211.
Mehran ArmandDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA 21211; Department of Orthopaedic Surgery and Johns Hopkins Applied Physics Laboratory, Baltimore, MD, USA 21224.
Johns Hopkins University · USChinese Academy of Medical Sciences & Peking Union Medical College · CNFriedrich-Alexander-Universität Erlangen-Nürnberg · DE

Funding

Robot-Assisted Femoroplasty with Intraoperative Biomechanical FeedbackR01EB023939 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI ARMAND, MEHRAN · 2017 to 2020
$1.6M
X-Ray Image-based Biomechanical Guidance for Hip SurgeryR21EB020113 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI ARMAND, MEHRAN · 2015 to 2016
$397k
NIBIB NIH HHS R01 EB023939NIBIB NIH HHS R21 EB020113
6 · The paper itself

Abstract

Femoroplasty is a proposed alternative therapeutic method for preventing osteoporotic hip fractures in the elderly. Previously developed navigation system for femoroplasty required the attachment of an external X-ray fiducial to the femur. We propose a fiducial-free 2D/3D registration pipeline using fluoroscopic images for robot-assisted femoroplasty. Intraoperative fluoroscopic images are taken from multiple views to perform registration of the femur and drilling/injection device. The proposed method was tested through comprehensive simulation and cadaveric studies. Performance was evaluated on the registration error of the femur and the drilling/injection device. In simulations, the proposed approach achieved a mean accuracy of 1.26±0.74 mm for the relative planned injection entry point; 0.63±0.21° and 0.17±0.19° for the femur injection path direction and device guide direction, respectively. In the cadaver studies, a mean error of 2.64 ± 1.10 mm was achieved between the planned entry point and the device guide tip. The biomechanical analysis showed that even with a 4 mm translational deviation from the optimal injection path, the yield load prior to fracture increased by 40.7%. This result suggests that the fiducial-less 2D/3D registration is sufficiently accurate to guide robot assisted femoroplasty.

Indexed as

2D/3D RegistrationFemur RegistrationRobot-Assisted FemoroplastyX-ray Navigation

Identifiers

PMID33763632
PMCPMC7982989
OpenAlexW3046011767

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.