Computational Techniques for Nerve Fiber Tracking
with Application to Aging Disease Studies

Principle Investigator: Jun Zhang
Co-Principle Investigator: Peter A. Hardy
Graduate Research Assistant: Chunxu Liu

Funding Sources: University of Kentucky Faculty Research Program
Funding Program:
Program Manager: Wendy Baldwin
Contract Number:
Estimated Budget: $20,000
Duration: 01/01/2004 - 12/30/2004 (12 months)


We propose a joint pilot research effort between Dr. J. Zhang in the Department of Computer Science and Dr. P. Hardy in the Magnetic Resonance Imaging \& Spectroscopy Center (MRISC) of the College of Medicine. We will develop and test a few computational algorithms to study medical images from diffusion tensor magnetic resonance imaging (DTI) technique. These algorithms and the computer codes to realize the algorithms can be used to study the nerve fiber tracts in human brains {\em non-invasively}. The computer based DTI techniques are of critical importance in our understanding of the human brain nerve fiber tracts, their distributions, and their functions. This is because of the obvious restrictions on the methodologies and techniques that scientists and researchers can use to explore the live human brains. The DTI technique could be used to study fiber connectivity of the human brain, and to further study certain brain diseases associated with aging. The goal of this research project is to develop computational algorithms, strategies, codes, MRI data, and initial results in using DTI technique to study aging diseases. This project will enhance ongoing collaboration between the computer science department and the medical school to develop new ideas and research topics in the area of medicine and bioinformatics. The results of this pilot project will be used in the application of federal funding in the near future.

Technical Reports and Computer Software:
Conference and Seminar Presentations:

This page is supported by the University of Kentucky. However, any opinions, findings, and conclusions or recommendations expressed in this documents are those of the author and do not necessarily reflect the views of the University of Kentucky.

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This page was created on Tuesday, February 3, 2004, by
Jun Zhang
Last modified on Tuesday, February 3, 2004.