FACIAL IDENTIFICATION FROM SCIENTIFIC VISUALIZATION OF MAGNETIC RESONANCE IMAGING DATA

Ms. A. Sivasankari, Mrs. G. Sangeethalakshmi, Mrs. K. Elakkya

Abstract: The technique of functional magnetic resonance imaging is rapidly moving from one of technical interest to wide clinical application. However, there are a number of questions regarding the method that need resolution. Some of these are investigated in this thesis. High resolution FMRI is demonstrated at 3.0 T, using an interleaved echo planar imaging technique to keep image distortion low. The optimum echo time to use in FMRI experiments is investigated using a multiple gradient echo sequence to obtain six images, each with a different echo time, from single free induction decay. Magnetic resonance imaging (MRI) is a technique which finds use in the neurosciences both as an anatomical and functional localization tool. The traditional uses of MRI for structural analysis, such as are commonly found in medicine, can be adapted to serve in place of histological studies for identifying areas of interest in the cortex. Functional MRI (FMRI) is a rapidly developing tangent of MRI which can be used alone or in tandem with classical electrophysiological experiments to investigate neural activity. Although developed intensely for clinical and scientific studies in human subjects, MRI and FMRI have been used increasingly in the non-human primate. This document contains work exemplifying the use of FMRI in both species and methods for pre- and post-surgical anatomical MRI in the non-human primate. The chance probability that an observer could match a photograph with its 3-D MR image was 1 in 40 (0.025), and we considered 4 successes out of 40 (4/40, 0.1) to indicate that a subject could iden- tify persons’ faces from their 3-D MR images.

Keywords: Biomedical imaging, face recognition, magnetic resonance imaging, privacy. MRI, FMRI. 3-D Images.

Title: FACIAL IDENTIFICATION FROM SCIENTIFIC VISUALIZATION OF MAGNETIC RESONANCE IMAGING DATA

Author: Ms.  A. Sivasankari,  Mrs. G. Sangeethalakshmi, Mrs. K. Elakkya

International Journal of Computer Science and Information Technology Research

ISSN 2348-120X (online), ISSN 2348-1196 (print)

Research Publish Journals

Vol. 2, Issue 3, July 2014 - September 2014

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FACIAL IDENTIFICATION FROM SCIENTIFIC VISUALIZATION OF MAGNETIC RESONANCE IMAGING DATA by Ms. A. Sivasankari, Mrs. G. Sangeethalakshmi, Mrs. K. Elakkya