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Barbara Postolka

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Articles

Personalised pose estimation from single-plane moving fluoroscope images using deep convolutional neural networks

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By Pascal Schütz, Barbara Postolka
| PLOS
Loading metrics Open Access Peer-reviewed Research Article Abstract Measuring joint kinematics is a key requirement for a plethora of biomechanical research and applications. While x-ray based systems avoid the soft-tissue artefacts arising in skin-based measurement systems, extracting the object’s pose (translation and rotation) from the x-ray images is a time-consuming and expensive task.
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A moving fluoroscope to capture tibiofemoral kinematics during complete cycles of free level and downhill walking as well as stair descent

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By Renate List, Pascal Schütz, Barbara Postolka
| PLOS
Videofluoroscopy has been shown to provide essential information in the evaluation of the functionality of total knee arthroplasties. However, due to the limitation in the field of view, most systems can only assess knee kinematics during highly restricted movements.
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