scholarly journals Femoral derotation osteotomy – does intraoperative electromagnetic tracking reflect the dynamic outcome?

2021 ◽  
Author(s):  
Andreas Geisbüsch ◽  
Marco Götze ◽  
Cornelia Putz ◽  
Hartmut Dickhaus ◽  
Thomas Dreher
Keyword(s):  
Electromagnetic Tracking ◽  
Derotation Osteotomy

scholarly journals Electromagnetic tracking for femoral derotation osteotomy-an in vivo study

2017 ◽  
Vol 35 (12) ◽  
pp. 2652-2657 ◽  
Author(s):  
Andreas Geisbüsch ◽  
Christoph Auer ◽  
Hartmut Dickhaus ◽  
Cornelia Putz ◽  
Thomas Dreher
Keyword(s):  
In Vivo Study ◽  
Electromagnetic Tracking ◽  
Derotation Osteotomy

scholarly journals Accuracy and repeatability of wrist joint angles in boxing using an electromagnetic tracking system

2019 ◽  
Vol 23 (1) ◽  
Author(s):  
Ian T. Gatt ◽  
Tom Allen ◽  
Jon Wheat
Keyword(s):  
Wrist Joint ◽  
Tracking System ◽  
Testing Procedure ◽  
Electromagnetic Tracking ◽  
Good Reliability ◽  
Flexion Extension ◽  
In Vivo Testing ◽  
Accuracy And Repeatability ◽  
Electromagnetic Tracking System

AbstractThe hand-wrist region is reported as the most common injury site in boxing. Boxers are at risk due to the amount of wrist motions when impacting training equipment or their opponents, yet we know relatively little about these motions. This paper describes a new method for quantifying wrist motion in boxing using an electromagnetic tracking system. Surrogate testing procedure utilising a polyamide hand and forearm shape, and in vivo testing procedure utilising 29 elite boxers, were used to assess the accuracy and repeatability of the system. 2D kinematic analysis was used to calculate wrist angles using photogrammetry, whilst the data from the electromagnetic tracking system was processed with visual 3D software. The electromagnetic tracking system agreed with the video-based system (paired t tests) in both the surrogate (< 0.2°) and quasi-static testing (< 6°). Both systems showed a good intraclass coefficient of reliability (ICCs > 0.9). In the punch testing, for both repeated jab and hook shots, the electromagnetic tracking system showed good reliability (ICCs > 0.8) and substantial reliability (ICCs > 0.6) for flexion–extension and radial-ulnar deviation angles, respectively. The results indicate that wrist kinematics during punching activities can be measured using an electromagnetic tracking system.

Calibration of the “Flock of Birds” electromagnetic tracking device and its application in shoulder motion studies

1999 ◽  
Vol 32 (6) ◽  
pp. 629-633 ◽  
Author(s):  
C.G.M. Meskers ◽  
H. Fraterman ◽  
F.C.T. van der Helm ◽  
H.M. Vermeulen ◽  
P.M. Rozing
Keyword(s):  
Electromagnetic Tracking ◽  
Shoulder Motion ◽  
Motion Studies ◽  
Tracking Device

Knee Pain and Activity Outcomes After Femoral Derotation Osteotomy for Excessive Femoral Anteversion

2018 ◽  
Vol 38 (10) ◽  
pp. 503-509 ◽  
Author(s):  
Jeffrey B. Stambough ◽  
Lauren Davis ◽  
Deborah A. Szymanski ◽  
June C. Smith ◽  
Perry L. Schoenecker ◽  
...  
Keyword(s):  
Knee Pain ◽  
Femoral Anteversion ◽  
Derotation Osteotomy

scholarly journals Proximal tibial derotation osteotomy for torsion of the tibia: a review of 43 cases

2012 ◽  
Vol 6 (1) ◽  
pp. 81-85 ◽  
Author(s):  
David M. Walton ◽  
Raymond W. Liu ◽  
Lutul D. Farrow ◽  
George H. Thompson
Keyword(s):  
Derotation Osteotomy

scholarly journals CycleGAN for interpretable online EMT compensation

2021 ◽  
Author(s):  
Henry Krumb ◽  
Dhritimaan Das ◽  
Romol Chadda ◽  
Anirban Mukhopadhyay
Keyword(s):  
Error Compensation ◽  
Qualitative Assessment ◽  
Electromagnetic Tracking ◽  
Invasive Procedures ◽  
Phantom Experiment ◽  
X Ray ◽  
Reduce Radiation Exposure ◽  
Rotational Error ◽  
Clinical Reality ◽  
Compensation Approach

Abstract Purpose Electromagnetic tracking (EMT) can partially replace X-ray guidance in minimally invasive procedures, reducing radiation in the OR. However, in this hybrid setting, EMT is disturbed by metallic distortion caused by the X-ray device. We plan to make hybrid navigation clinical reality to reduce radiation exposure for patients and surgeons, by compensating EMT error. Methods Our online compensation strategy exploits cycle-consistent generative adversarial neural networks (CycleGAN). Positions are translated from various bedside environments to their bench equivalents, by adjusting their z-component. Domain-translated points are fine-tuned on the x–y plane to reduce error in the bench domain. We evaluate our compensation approach in a phantom experiment. Results Since the domain-translation approach maps distorted points to their laboratory equivalents, predictions are consistent among different C-arm environments. Error is successfully reduced in all evaluation environments. Our qualitative phantom experiment demonstrates that our approach generalizes well to an unseen C-arm environment. Conclusion Adversarial, cycle-consistent training is an explicable, consistent and thus interpretable approach for online error compensation. Qualitative assessment of EMT error compensation gives a glimpse to the potential of our method for rotational error compensation.

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