NIH-Poster

1
Data Mining Techniques Applied on Human Brain
Image Data D. Kontos, Q. Wang, E. Miranda, J.
Zhang, V. Megalooikonomou, Z. Obradovic, M.
Barnathan, L. An, R. Li Data Engineering
Laboratory, Department of Computer and
Information Sciences, Temple University,
Philadelphia, PA, USA Center for Information
Science and Technology, Temple University,
Philadelphia, PA, USA

• Purpose
• Develop efficient methods for feature
  extraction and classification of ROIs in human
  brain images.
• Develop spatial data mining tools for
  discovering associations between anatomic and
  other variables such as function, pathology, or
  response to drugs.
• Integrate the above techniques with
  morphological analysis tools to correlate
  morphological changes to changes of other
  measurements such as functional, physiological,
  etc.
• Develop fast and effective database techniques
  supporting efficient retrieval in large scale
  brain image databases.

A 2-step content-based brain image retrieval
framework

• Acknowledgement
• This project was supported by the NIH Research
  Grant R01MH68066-02 funded by the National
  Institute of Mental Health.

• References
• D. Kontos, V. Megalooikonomou, D. Prokrajac, A.
  Lazarevic, Z. Obradovic, J. Ford, F. Makedon, and
  A. J. Saykin, "Extraction of Discriminative
  Functional MRI Activation Patterns and an
  Application to Alzheimer's Disease," in Proc of
  7th International Conference on Medical Image
  Computing and Computer Assisted Intervention -
  MICCAI, Rennes - St.Malo, France, 2004, pp.
  727-735.
• V. Megalooikonomou, D. Kontos, D. Pokrajac, A.
  Lazarevic, Z. Obradovic, O. Boyko, A. Saykin, J.
  Ford, and F. Makedon, "Classification and Mining
  of Brain Image Data Using Adaptive Recursive
  Partitioning Methods Application to Alzheimer
  Disease and Brain Activation Patterns," in Proc.
  of Human Brain Mapping (HBM), New York, NY, 2003.
• A. Dubb, R. Gur, B. Avants, and J. Gee,
  "Characterization of sexual dimorphism in the
  human corpus callosum," NeuroImage, vol. 20, pp.
  512-519, 2003.