Accuracy of biplane videoradiography for quantifying dynamic wrist kinematics

Abstract

Accurately assessing the dynamic kinematics of the skeletal wrist could advance our understanding of the normal and pathological wrist. Biplane videoradiography (BVR) has allowed investigators to study dynamic activities in the knee, hip, and shoulder joint; however, currently, BVR has not been utilized for the wrist joint because of the challenges associated with imaging multiple overlapping bones. Therefore, our aim was to develop a BVR procedure and to quantify its accuracy for evaluation of wrist kinematics. BVR was performed on six cadaveric forearms for one neutral static and six dynamic tasks, including flexion-extension, radial-ulnar deviation, circumduction, pronation, supination, and hammering. Optical motion capture (OMC) served as the gold standard for assessing accuracy. We propose a feedforward tracking methodology, which uses a combined model of metacarpals (second and third) for initialization of the third metacarpal (MC3). BVR-calculated kinematic parameters were found to be consistent with the OMCcalculated parameters, and the BVR/OMC agreement had submillimeter and sub-degree biases in tracking individual bones as well as the overall joint's rotation and translation. All dynamic tasks (except pronation task) showed a limit of agreement within 1.5° for overall rotation, and within 1.3 mm for overall translations. Pronation task had a 2.1° and 1.4 mm limit of agreement for rotation and translation measurement. The poorest precision was achieved in calculating the pronationsupination angle, and radial-ulnar and volar-dorsal translational components, although they were sub-degree and submillimeter. The methodology described herein may assist those interested in examining the complexities of skeletal wrist function during dynamic tasks.

The Reliability of Foot and Ankle Bone and Joint Kinematics Measured With Biplanar Videoradiography and Manual Scientific Rotoscoping

“…The implementation of automated tracking algorithms, with improved algorithms for calculating global optimal solutions (e.g., particle swarm optimization algorithms; Akhbari et al, 2019) tailored to the foot bones, potentially with multi-bone approaches, may further improve the reliability of biplanar data processing. How does operator-dependent variability compare to between subject (natural) variation?…”

“…This approach combines high-speed x-ray image sequences with 3D bone volumes obtained from computed tomography (CT) scans to track 3D bone movement (You et al, 2001;Miranda et al, 2011Miranda et al, , 2013. Biplanar videoradiography has provided valuable insights into the function of the wrist (Akhbari et al, 2019), shoulder (Bey et al, 2006(Bey et al, , 2008, hip (Dimitriou et al, 2015), and knee (Akbarshahi et al, 2010;Miranda et al, 2013) during dynamic tasks. Recently, it has also been shown to accurately capture 3D skeletal motion of the bones in the foot (Ito, 2015;Wang et al, 2015) and subsequently used to calculate their foot kinematics (Roach et al, 2016(Roach et al, , 2017Kessler et al, 2019).…”

Proximal‐distal shift of the center of rotation in a total wrist arthroplasty is more than twice of the healthy wrist

“…37 Normalized cross‐correlation cost function and particle swarm optimization algorithm 38 were implemented to optimize the 3D position of TWA components and bones. Optimization and radiograph filter specifications have been reported previously 23 . Hammering task data for one healthy subject was excluded because of its poor tracking accuracy due to the large overlap of metacarpals and indistinguishable MC3 in BVR images.…”

“…The bones in the CT images were segmented manually in two or three image slices, and then an automatic gradient‐based segmentation (Materialise) was used for segmentation of the entire bone. In this study, we used a previously‐reported feedforward model‐based tracking methodology to track the bones in the videoradiographs by first tracking the combined MC2‐MC3 image volumes and then using the results of this analysis to seed the tracking of the MC3 alone 23 …”

“…However, dynamic shifting in the COR during coupled wrist motions, 22 such as circumduction or the dart‐thrower's motion, have not been established. Biplane videoradiography (BVR) is a dynamic imaging technique that can accurately determine the three‐dimensional (3D) positions of the bones and implants in vivo, and could help illustrate the physiological behavior of the wrist joint during dynamic coupled motion 23‐27 …”