FMRI denoising and data analysis for medical applications

FMRI denoising and data analysis for medical applications

Since its development in the early 1990s, functional MRI has emerged as a useful tool to explore the functional behavior of the human brain. Image processing for fMRI data analysis has been playing a very important role for determining which parts of the brain are activated by different types of s...

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Bibliographic Details
Main Author: Singh, Rahul.
Other Authors: Mohammed Yakoob Siyal
Format: Final Year Project
Language:English
Published: 2010
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Online Access:http://hdl.handle.net/10356/40589
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Institution: Nanyang Technological University
Language: English
Description
Summary:Since its development in the early 1990s, functional MRI has emerged as a useful tool to explore the functional behavior of the human brain. Image processing for fMRI data analysis has been playing a very important role for determining which parts of the brain are activated by different types of stimuli. Functional magnetic resonance imaging (FMRI) data is severely contaminated by noise, in large part due to physiologic noise caused by respiratory and cardiac variations over time. This Final Year Project attempts to better characterize several noise correction and analysis techniques applied to FMRI data.

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