Faculty Mentor: Dr. Khan M. Iftekharuddin

Faculty Mentor's Department: Electrical and Computer Engineering

Telephone Number and/or E-mail: 678-3250 iftekhar@memphis.edu

Project Description: The MR is a highly successful diagnostic imaging modality due to its ability to derive contrast from different physical parameters. The MRI tissue contrast is based predominantly on the spinlattice relaxation time (T1), spinspin relaxation time (T2), and proton-spin density (PD) sequences of the tissues being imaged. The information (or, features) retrieved from a combination of these MR sequence tissue parameters may play a vital role in automated tumor and hard-to-detect abnormalities detection in the brain. In the past, we have investigated different types of features to extract pediatric brain tumor. Often times, it is desirable to handle a large amount of MR images for successful brain tumor detection. This requires handling these images in automated databases and graphical web interfaces. This project involves designing appropriate database and graphical web interfaces. This project involves designing appropriate database and graphical interfaces for automated handling of large-scale MR images.

Requirements for Student Applicants: Students must be prepared to work on computer simulation. Previous experience with programming in C/C++/Java/Matlab and knowledge of my SQL database, as well as statistical analysis are helpful. A basic knowledge of signals and systems would be helpful, but is not required.

Starting Date: anytime

Method of Compensation (Volunteer, Academic Credit, or Stipend): Volunteer at this time. May provide stipend depending on availability.