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ICube   >   Agenda : Séminaire : Multimodal medical image analysis: applications and challenges

Séminaire : Multimodal medical image analysis: applications and challenges

Le 30 novembre 2016
À 14h00
Illkirch - Pôle API - C218

Farida Cheriet, de l'Ecole Polytechnique de Montréal, fera une présentation de ses travaux de recherche en anglais le mercredi 30 novembre 2016 à 14h00 en C218 du pôle API à Illkirch.

Titre : Multimodal medical image analysis: applications and challenges

Résumé : This presentation will provide an overview of work done in recent years by our research group to provide reliable tools for diagnosis, treatment planning and assistance in orthopedics, cardiology and ophthalmology. Multimodal image analysis of the trunk of patients with Adolescent idiopathic scoliosis (AIS) treated at Sainte-Justine University Hospital Center (CHU), Montreal, Canada will first be presented. We will describe our method for 3D reconstruction of bone structures from radiographs then we will introduce our surface acquisition system and our methods for the representation and the geometric modeling of the trunk’s external shape, to quantify its degree of asymmetry. We will show how this technology allowed us to initiate new research programs such as: a) investigating the complex relationship between the external deformities of the trunk surface and the underlying bone structures obtained from X-rays; and b) modeling and simulating the effect of orthopedic treatment on the external appearance of the patient. These research activities opened a paradigm-shift in the treatment strategy as the surgeon presently takes into account the satisfaction of the patient instead of focusing only on the correction of the spine. We will also present our contributions in the development of innovative tools for 3D visualization and reliable clinical assessment of abnormalities in a paediatric population of children with Kawasaki disease treated at Sainte-Justine University Hospital Center (CHU), Montreal, Canada. Finally, we will present our ongoing work on automatic assessment and grading of ocular diseases such as diabetic retinopathy (DR), glaucoma and Age-related Macular Degeneration (AMD) from fundus images.

Farida Cheriet received the B.Sc. degree in computer science from the University USTHB, Algiers, in 1984, the D.E.A. degree in the field of languages, algorithms and programming from the University of Paris VI, France, in 1986, and the Ph.D. degree in computer science from the University of Montreal, QC, Canada, in 1996. She held a postdoctoral position at the Biomedical Engineering Institute, École Polytechnique de Montréal, from 1997 to 1999. Since 1999, she has been appointed in the Department of Computer and Software Engineering, École Polytechnique de Montréal, where she is currently a full Professor. She is an IEEE Senior member, a member of the research center of Sainte Justine hospital in Montreal and a member of Ordre des ingénieurs du Québec. Her research interests include, three–dimensional (3-D) reconstruction of bone structures from x-rays, calibration of x-ray imaging systems, non-invasive 3-D modeling of scoliosis deformities, 3-D Augmented Reality systems for minimally invasive surgery, retinal image analysis, 3-D reconstruction and visualization of vascular structures from multimodal images, and spatiotemporal registration of medical images.

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