Dual-Plane Fluoroscope

The Dual-plane tracking Fluoroscope (DownloadDuoFluo (PDF, 524 KB)) project is a flagship project for the Interdisciplinary Master Project Platform (DownloadIMPP (PDF, 461 KB)), that will employ the interdisciplinary expertise of Master students from HEST, MAVT, ITET and INFK.

The idea is to create a tracking dual-plane video-fluoroscope for the accurate real-time assessment of 3D kinematics of natural, pathological or implanted joints in vivo and during complete cycles of a wide range of functional activities, including low- and high-speed motion, all while the subject is moving freely.

Utilising considerable sponsorship and funding, the aim is to design and eventually build the large, high-speed tracking device in a collaborative effort across departments in a project that allows combined supervision and grading of Master theses working together to achieve a unique and clinically relevant measurement technology.

Estimated project schedule: Downloadtimetable.pdf (PDF, 189 KB)

Automated kinematic estimation of the knee joint using deep learning

Knee kinematics is critical for diagnosing pathologies such as osteoarthritis and providing guidance for implant design. Estimating knee kinematics requires aligning a model with a target X-ray image. This estimation process, often implemented by human labor, can be very time-consuming. This research aims to use a deep learning network to estimate the pose (kinematics) from X-ray images, partially replacing manual labor. Such a network should predict a pose from a current fluoroscopic image. By the end of this project, a robust pipeline should be completed, achieving baseline performance to provide convincing pose estimation for images from different modalities (single-plane system & dual-plane system; natural bone model & implant model). Show details 

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