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...

Full description

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-40589
record_format	dspace
spelling	sg-ntu-dr.10356-405892023-07-07T16:24:19Z FMRI denoising and data analysis for medical applications Singh, Rahul. Mohammed Yakoob Siyal School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics 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. Bachelor of Engineering 2010-06-16T09:08:05Z 2010-06-16T09:08:05Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/40589 en Nanyang Technological University 88 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Singh, Rahul. FMRI denoising and data analysis for medical applications
description	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.
author2	Mohammed Yakoob Siyal
author_facet	Mohammed Yakoob Siyal Singh, Rahul.
format	Final Year Project
author	Singh, Rahul.
author_sort	Singh, Rahul.
title	FMRI denoising and data analysis for medical applications
title_short	FMRI denoising and data analysis for medical applications
title_full	FMRI denoising and data analysis for medical applications
title_fullStr	FMRI denoising and data analysis for medical applications
title_full_unstemmed	FMRI denoising and data analysis for medical applications
title_sort	fmri denoising and data analysis for medical applications
publishDate	2010
url	http://hdl.handle.net/10356/40589
_version_	1772829047451025408

FMRI denoising and data analysis for medical applications

Similar Items