CWI and Planmeca: Improving CBCT imaging for computer-assisted surgery

Researchers from CWI and Planmeca collaborate to improve the quality of CBCT imaging by developing novel algorithmic approaches for processing the data and by investigating possible changes in the acquisition geometry.

In this project, researchers from CWI and Planmeca collaborate to improve the quality of cone-beam computed tomography (CBCT) imaging. The main application focus is on the use of CBCT for computer-assisted surgery. Although CBCT devices are far more affordable than the medical CT scanners (based on multi-slice or helical acquisition) employed in hospitals, the accuracy of CBCT imaging is currently limited due to the geometry of the image acquisition. The project is co-funded by a TKI grant from Holland High Tech.

The team aims to improve the quality of CBCT imaging by combining algorithmic ideas from discrete tomography (a key technology developed by Prof. Joost Batenburg) and novel machine-learning techniques to improve image quality in a data-driven way.

The researchers will have access to CWI’s new FleX-Ray Lab. This lab is equipped with a custom-made micro-CT system (X Ray Engineering, Gent, Belgium). The system has a modular setup in which new hardware components (e.g., additional X-ray sources or detectors) can easily be integrated in the system and allows to investigate various geometrical forms of the image acquisition.

Planmeca Oy is a leading provider of cone-beam computed tomography (CBCT) imaging devices with applications in dental imaging as well as other medical imaging fields.

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