Louise Hauge Matzen
Papers
2
Total Citations
39
H-Index
2
About
Louise Hauge Matzen is a leading researcher in dental and maxillofacial imaging, with a primary focus on cone beam computed tomography (CBCT) and the mitigation of motion artefacts. Her work addresses a critical challenge in clinical radiology: the degradation of image quality caused by patient head movement during CBCT scans. In her most cited study (2018, 27 citations), she conducted an ex vivo investigation using a robot-simulated skull to evaluate an automated motion artefact correction system, demonstrating its potential to significantly improve CBCT image quality and diagnostic interpretability. This research provides a foundational framework for developing more robust imaging protocols in dentistry and oral surgery. Additionally, her work on a three-dimensional head tracking system (2017, 12 citations) advanced the accuracy of motion detection and quantification, enabling more precise correction algorithms. Matzen’s contributions are pivotal for enhancing the reliability of CBCT in clinical settings, reducing the need for repeat scans, and improving patient outcomes. Her innovative use of robotic simulation and quantitative analysis has established her as a key figure in the ongoing effort to refine medical imaging technology.
Research Focus
Key Achievements
Top Papers
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