Research Interests
Navigation and image-guided procedures in the field of Cardiology and Orthopaedics
Topics
- Medical Imaging
- Pattern Recognition and Machine Learning
- Image Analysis and Image Processing
- Computer Vision
- Multimedia and Computer Graphics
Current Projects
Biography
Luc Duong completed a B.Eng. (1999) and Ph.D. (2007) degrees from
École Polytechnique de Montréal.
He joined the CHU Sainte-Justine Research Center in January 2000 as a software engineer
and a research associate. He contributed to the design and development of
navigation software to assist the surgical correction of Adolescent Idiopathic Scoliosis
(AIS).
From May 2004 to August 2007, he focused on designing a classification system aimed
to better guide the surgical treatment of AIS under the supervision of
Prof. Farida
Cheriet and
Dr Hubert Labelle. M. Duong introduced machine learning and pattern recognition
techniques to the study of spinal deformities. Moreover, he proposed a software
methodology, jointly with the Scoliosis Research Society to design a new 3-D classification,
better adapted to the study of spinal deformities.
From October 2007 to October 2008, he was a postdoctoral fellow in the Interventional
Imaging Departement of Siemens Corporate Research, Princeton NJ. The
project was aimed towards image-guided navigation of Chronic Total Occlusions (CTO)
in Cardiology. Under the supervision of Chenyang Xu, he developed an expertise
in image guided procedures of coronary arteries. This project was jointly conducted
in collaboration with the
Erasmus MC ThoraxCentrum in Rotterdam, The Netherlands.
He is currently member of the Order of Engineers of Quebec
since Januray 2000 and a IEEE member.
Achievements
- [Orthopaedic] Navigation software for the surgical treatment of spinal deformities in AIS.
- [Orthopaedic] Methodology for 3-D classification aimed to guide surgical strategies in AIS.
- [Cardiology] Image-guided navigation of Chronic Total Occlusions (CTO).
