Department of Electrical & Computer Engineering
Department of Medical Biophysics
B.A.Sc (Toronto) 1991
M.Eng. (McGill) 1994
Ph.D. (McGill) 1998
DR. LADAK is an Associate Professor jointly appointed to the Departments of Electrical & Computer Engineering and Medical Biophysics at the University of Western Ontario, and is a core faculty member in the Graduate Programme in Biomedical Engineering. He is also an Associate Scientist in the Imaging Research Labs of the Robarts Research Institute. His research interests are in designing and validating algorithms for segmenting medical images and designing surgical simulators. He is funded by grants from NSERC.
Segmentation is the process of partitioning an image into objects (e.g., organs) and background, and is the first step in most image analysis tasks. Quantitative information derived from segmented images can be used to support activities ranging from disease diagnosis and monitoring, surgery and therapy planning to intra-operative navigation. Professor Ladak's work focuses on developing algorithms based on deformable models, contours and surfaces that change shape to fit features in images. His lab has developed rigorous protocols for testing the accuracy and repeatability of measurements made on images segmented using his algorithms. Special algorithms have been developed for measuring the size and shape of the prostate from 2D and 3D ultrasound images and for tracking the progression and regression of atherosclerotic plaque in the carotid arteries imaged using black blood MRI. His lab is currently designing a semi-immersive environment for segmenting 3D images.
Prof. Ladak’s research group is using organ boundaries segmented from medical images to define the geometry of models for surgical simulation. Current research in his lab focuses on the development of a simulator for prostate cancer treatment. The technology provides a realistic interactive patient-like computer model of the prostate as well as surgical tools and offers a cost-effective testbed for evaluating new therapies.
KEYWORDS: Image processing; image analysis; medical imaging; biomedical engineering; 3D visualization; virtual reality; interactive computer graphics, surgical simulation