Directory of Experts
Back to search results
Laboratoire d'imagerie et de vision 4D (LIV4D)

Phone: (514) 340-4711 Ext. 4277 Room: M-3202 Pavillons Lassonde

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

Expertise type(s) (NSERC subjects)
  • 1901 Biomedical technology
  • 2800 ARTIFICIAL INTELLIGENCE (Computer Vision, use 2603)
  • 2603 Computer vision
  • 2708 Image and video processing

Research staff

Professors / researchers (2)
Number of graduate students: 14
Number of postdoctoral fellows :1
Number of research agents: 1

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



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)

May 4, 2018, Le Journal de Québec, Nos yeux décortiqués En collaboration avec Farida Cheriet, professeure titulaire au Département de génie informatique et génie logiciel de Polytechnique Montréal, et de Marie-Carole Boucher, de l’Université de Montréal, le Dr Constantino constitue une base de données pancanadienne qui regroupera des millions d’images d’yeux.