MIAL

Artificial Life Approaches to Medical Image Analysis

MSc Student: Chris McIntosh
Principal Investigator: Ghassan Hamarneh

We are developing techniques for analysis of medical images based on modeling and utilizing knowledge about the underlying anatomy in the image. We are wokring on developing intelligent deformable models (deformable organisms) that live in the image space and whose goal is to locate and label anatomy.

 News


 Projects



Corpus callosum deformable organism segmentation from a mid-sagittal MRI slice.



Interacting deformable organisms segmenting structures (ventricles, caudate nuclei, putamina) in a transversal brain MRI slice



A procedural representation of a deformable organismís plan



Schematic representation of Deformable Organisms - Adding high-level control layers (ëbrainí) atop the standard geometric and physical layers



Physically-based deformable organism with a body constructed from a mesh of masses and springs



Using Genetic Algorithms to find a popoluation of corpus callosum organisms that best fit to the MR image data


Publications


G. Hamarneh and C. McIntosh. Deformable Organisms for Medical Image Analysis (Chapter 12). Deformable Models: Biomedical and Clinical Applications, 1:387-443, 2007.

C. McIntosh, G. Hamarneh, and G. Mori. "Limb delineation and joint position recovery using shape contexts and deformable organisms". In IEEE Workshop on Motion and Video Computing, 2007.

C. McIntosh and G. Hamarneh, "I-DO: A Deformable Organisms framework for ITK", MICCAI Open Science Workshop 2006, pages 1-14.

C. McIntosh, G. Hamarneh,"Genetic algorithm driven statistically deformed models for medical image segmentation", ACM Workshop on Medical Applications of Genetic and Evolutionary Computation Workshop (MedGEC), in conjunction with the Genetic and Evolutionary Computation Conference (GECCO), 2006.

C. McIntosh, G. Hamarneh, "Artificial Life Models for Medical Image Analysis - 2D and 3D ITK-Based Deformable Organisms", 1st Annual Medical Technology Research Showcase, Vancouver, BC, 2005.

G. Hamarneh, C. McIntosh. "Corpus Callosum Segmentation in Magnetic Resonance Images Using Artificial Organisms". The MSHRF/CIHR Strategic Training Program in Neurobiology and Behaviour. Neuroscience Research Colloquia, Annual Neuroscience Extravaganza, Brain Research Centre, UBC. November 2004.

G. Hamarneh, T. McInerney, D. Terzopoulos. “Deformable Organisms for Automatic Medical Image Analysis”. Medical Image Computing and Computer-Assisted Intervention, 2001, Lecture Notes in Computer Science, ISBN 3-540-42697-3, vol. 2208, pp. 66-75

G. Hamarneh and C. McIntosh, "Physics-Based Deformable Organisms for Medical Image Analysis", Proceedings of SPIE Medical Imaging: Image Processing, vol. 5747, 2005, pp. 326-335.

 

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