Pascal Theriault Lauzier
Appointment
Solution Network Member
Integrated AI for Health Imaging
Pan-Canadian AI Strategy
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About
Thériault Lauzier’s doctoral thesis focused on applications of compressed sensing and iterative reconstruction algorithms in cardiac CT. Specifically, he used advanced algorithms to minimize the dose of radiation imparted on patients during CT scans and to obtain better images of the moving heart. During medical school and residency, he designed FluoroCT, a lightweight CT analysis software for pre-procedural planning of structural heart interventions, such as transcatheter valve replacement or repair. He has been active in research on artificial intelligence in cardiac imaging. He developed algorithms that enable automated analysis of cardiac CT scans. He also created a large multi-institution dataset of chest radiographs in patients with cardiac implanted electronic devices such as pacemakers; he applied artificial intelligence methods to process and analyze this radiographic dataset. He has led the software design and development of PACS AI solution.
Awards
- Canadian Society of Cardiovascular Nuclear and CT Imaging Best Abstract Award, Canadian Cardiovascular Congress (2022)
- Trainee Research Award Winner, Canadian Cardiovascular Congress (2022)
- Strategic Research Fellowship, University of Ottawa Heart Institute (2022)
- Best clinical science presentation, University of Ottawa Heart Institute Research day (2021)
- NSERC Postgraduate Scholarship (2008-2012)
Relevant Publications
- Theriault Lauzier, P., Gomes, D. G., Weng, W., Sadek, M. M., Zakutney, T., Bernier, M. L., & Birnie, D. (2023). Detection and identification of cardiac implanted electronic devices in a large data set of chest radiographs using semi-supervised artificial intelligence methods. Heart Rhythm, 20(4), 642-643.
- Theriault Lauzier, P., Avram, R., Dey, D., Slomka, P., Afilalo, J., & Chow, B. J. (2022). The evolving role of artificial intelligence in cardiac image analysis. Canadian Journal of Cardiology, 38(2), 214-224.
- Theriault Lauzier, P., Alsosaimi, H., Mousavi, N., Buithieu, J., Spaziano, M., Martucci, G., ... & Piazza, N. (2020). Recursive multiresolution convolutional neural networks for 3D aortic valve annulus planimetry. International journal of computer assisted radiology and surgery, 15, 577-588.
- Ben-Shoshan, J., Alosaimi, H., Theriault Lauzier, P., Pighi, M., Talmor-Barkan, Y., Overtchouk, P., ... & Piazza, N. (2021). Double S-Curve Versus Cusp-Overlap Technique: Defining the Optimal Fluoroscopic Projection for TAVR With a Self-Expanding Device. JACC: Cardiovascular Interventions, 14(2), 185-194.
- Kočka, V., Thériault-Lauzier, P., Xiong, T. Y., Ben-Shoshan, J., Petr, R., Laboš, M., ... & Piazza, N. (2020). Optimal Fluoroscopic Projections of Coronary Ostia and Bifurcations Defined by Computed Tomographic Coronary Angiography. JACC: Cardiovascular Interventions, 13(21), 2560-2570.