MIAL

Artificial Life Approaches to Medical Image Analysis

MSc Student: Chris McIntosh
Principal Investigator: Ghassan Hamarneh
Collaborator: Demetri Terzopoulos
Collaborator: Tim McInerney

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

A complete list of publications on Deformable Organisms

Selected Publications:

   Original Thesis 2001:

Towards Intelligent Deformable Models for Medical Image Analysis. PhD thesis, Department of Signals and Systems, School of Electrical and Computer Engineering, Chalmers University of Technology, 2001.  

   MICCAI 2001:

Ghassan Hamarneh, Tim McInerney, and Demetri Terzopoulos. Deformable Organisms for Automatic Medical Image Analysis.. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 2208, pages 66-75, 2001.  

   MedIA 2002:

McInerney, Ghassan Hamarneh, Martha Shenton, and Demetri Terzopoulos. Deformable organisms for automatic medical image analysis.Medical Image Analysis, 6(3):251-266, 2002.  

   Physics-based formulation in SPIE MI 2005

Ghassan Hamarneh and Chris McIntosh. Physics-based deformable organisms for medical image analysis. In SPIE Medical Imaging, volume 5747, pages 326-335, 2005.   

   The ITK framework 2006:

Chris McIntosh and Ghassan Hamarneh. I-DO: A Deformable Organisms framework for ITK. In Medical Image Computing and Computer-Assisted Intervention Open Science Workshop (also appears in the Insight Journal) (MICCAI OS), pages 1-14, 2006.  

   2009 book chapter:

Ghassan Hamarneh, Chris McIntosh, Tim McInerney, and Demetri Terzopoulos. Deformable Organisms: An Artificial Life Framework for Automated Medical Image Analysis (Chapter 15). Computational Intelligence In Medical Imaging: Techniques and Applications, pp 433-474, 2009.  

 

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