Validation of XMALab software for marker-based XROMM
| Autor: | Elizabeth L. Brainerd, Stephen M. Gatesy, Benjamin Knörlein, J. D. Laurence-Chasen, David B. Baier |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
030110 physiology
0301 basic medicine Accuracy and precision Motion analysis Physiology Computer science Swine Movement Video Recording Aquatic Science Plot (graphics) Bone and Bones 03 medical and health sciences Software Imaging Three-Dimensional Animals Computer vision MATLAB Molecular Biology Ecology Evolution Behavior and Systematics computer.programming_language business.industry Distortion (optics) X-Rays Reproducibility of Results Dimensional Measurement Accuracy Insect Science Fluoroscopy Swine Miniature Animal Science and Zoology Artificial intelligence User interface business Tomography X-Ray Computed computer Camera resectioning |
| Zdroj: | The Journal of experimental biology. 219(Pt 23) |
| ISSN: | 1477-9145 |
| Popis: | Marker-based XROMM requires software tools for: 1) correcting fluoroscope distortion; 2) calibrating X-ray cameras; 3) tracking radio-opaque markers; and 4) calculating rigid body motion. In this paper we describe and validate XMALab, a new open-source software package for marker-based XROMM (C++ source and compiled versions on Bitbucket). Most marker-based XROMM studies to date have used XrayProject in MATLAB. XrayProject can produce results with excellent accuracy and precision, but it is somewhat cumbersome to use and requires a MATLAB license. We have designed XMALab to accelerate the XROMM process and to make it more accessible to new users. Features include the four XROMM steps (listed above) in one cohesive user interface, real-time plot windows for detecting errors, and integration with an online data management system, XMAPortal. Accuracy and precision of XMALab when tracking markers in a machined object are ±0.010 and ±0.043 mm, respectively. Mean precision for nine users tracking markers in a tutorial dataset of minipig feeding was ±0.062 mm in XMALab and ±0.14 mm in XrayProject. Reproducibility of 3D point locations across nine users was tenfold greater in XMALab than in XrayProject, and six degree-of-freedom bone motions calculated with a joint coordinate system were three- to sixfold more reproducible in XMALab. XMALab is also suitable for tracking white or black markers in standard light videos with optional checkerboard calibration. We expect XMALab to increase both the quality and quantity of animal motion data available for comparative biomechanics research. |
| Databáze: | OpenAIRE |
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