Ghassan Hamarneh
Associate Professor
School of Computing Science
Faculty of Applied Science
Simon Fraser University

ACM & IEEE Senior Member
BRC RAMP NeuroDevNet
BIONF MICCAI
 
Medical Image Analysis Lab

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Research
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Overview

I work on developing techniques for solving real-world clinical problems through the automated processing and analysis of multi-dimensional biomedical structural and functional images such as magnetic resonance imaging (MRI, fMRI, DT-MRI) and computed tomography (X ray-CT, PET, SPECT), and ultrasound. My research focuses on developing techniques for: segmentation and registration, tracking and matching, shape representation and deformation analysis of anatomical structures and functional regions in medical images. I also work on building statistical, physical, and geometrical models of shape variation and on their application to automated detection of structural abnormality and pathology. I am also researching the development of controlled shape deformation techniques, and the incorporation of context-based, artificially intelligent mechanisms for image registration and segmentation using artificial life models.

Research Components
  • Clinical Applications (e.g. cardiology, neurology,  oncology, and musculoskeletal)
  • Medical Imaging Modalities (e.g. MRI, CT, ultrasound, nuclear,, 2D, 3D, 3D+time, scalar, vector, tensor fields)
  • Image processing (e.g. image filtering, enhancement, noise reduction, edge detection)
  • Image segmentation (e.g. identifying anatomical structures of interest in medical images for quantification, visualization)
  • Image Registration and Surface Matching (e.g. fusion of medical images of different modalities, establishing correspondence between images and shapes)
  • Statistical Shape Analysis (e.g. 3d shape representation, modeling anatomical shape variability, detecting shape abnormalities)
  • Software Tools (see examples)
Keywords
  • medical image analysis
  • image segmentation, image registration, shape analysis,
  • deformable models,  geometric modeling,
  • physics-based shape modeling, statistical shape modeling,
  • artificial life
  • medical imaging
  • small animal image analysis
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