Research areas description
At the LIV4D, we exploit medical imaging in its many forms to develop new processes and tools to help clinicians diagnose and treat various diseases. By exploiting spatial (3D) and temporal (=> 4D) information from imaging modalities, our work also contributes to a better understanding of these diseases. Our group is situated at the border between of the fields of medicine, engineering and computer science, and collaborates with a variety of stakeholders in academia, research, the health care system and industry.
Our research interests include musculoskeletal deformities (e.g. idiopathic scoliosis), cardiovascular diseases (e.g. coronary atherosclerosis) and ocular diseases (e.g. diabetic retinopathy). In our research, we apply techniques from image processing, reconstruction and modeling, multimodal fusion, computer vision and machine learning.
Research interests
- 1901 Biomedical technology
- 2800 ARTIFICIAL INTELLIGENCE (Computer Vision, use 2603)
- 2603 Computer vision
- 2708 Image and video processing
Research staff
- Farida Cheriet | Director
- Philippe Debanné | Researcher
Specialized equipment
- 3D structured light surface digitizer
- High-speed digitizer for dynamic 3D surface capture
- 3D motion capture system with customizable markers
- Endoscopy system for minimally invasive surgery
- Ultrasound system with linear, curvilinear and HD probes
External sources of funding
NSERC
CIHR
Diabetes Action Canada
Canadian Foundation for Innovation
Fonds de recherche Nature et technologies Québec (FRQNT)
Sick Kids Foundation
Press review about Laboratoire d'imagerie et de vision 4D (LIV4D)
