Matthieu Laurendeau
Papers
1
Total Citations
6
H-Index
1
About
Matthieu Laurendeau is a leading figure in the advancement of medical imaging, with a primary focus on cone-beam computed tomography (CBCT) and artifact reduction techniques. His most impactful work addresses a critical limitation of conventional CBCT: the cone-beam artifacts that degrade image quality due to incomplete data acquisition. Laurendeau’s major contribution lies in pioneering the use of saddle trajectories—a non-circular scanning path—integrated with infrared tracking to dramatically reduce these artifacts. This innovative approach, detailed in his 2024 paper which has already garnered 6 citations, promises to enhance the reliability of CBCT in clinical settings, from radiotherapy to interventional radiology. By combining robotic CBCT hardware with precise motion tracking, his research bridges the gap between theoretical imaging physics and practical, high-fidelity diagnostics. Laurendeau’s work is notable for its direct translational impact, offering a tangible solution to a long-standing problem in volumetric imaging. His contributions are shaping the next generation of CBCT systems, making them more robust for demanding applications where image accuracy is paramount.
Research Focus
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Top Papers
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