Investigation and implementation of image processing algorithms for medical applications

Functional Magnetic Resonance Imaging (fMRI) is a relatively new form of neuroimaging techniques that measures haemodynamics response related to brain activity. This new ability to directly observe brain function opens an array of new opportunities to advance our understanding of brain organization,...

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Main Author: Teh, Sheng Qiao.
Other Authors: Mohammed Yakoob Siyal
Format: Final Year Project
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/18048
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-180482023-07-07T16:10:38Z Investigation and implementation of image processing algorithms for medical applications Teh, Sheng Qiao. Mohammed Yakoob Siyal School of Electrical and Electronic Engineering DRNTU::Engineering Functional Magnetic Resonance Imaging (fMRI) is a relatively new form of neuroimaging techniques that measures haemodynamics response related to brain activity. This new ability to directly observe brain function opens an array of new opportunities to advance our understanding of brain organization, as well as a potential new standard for assessing neurological status and neurosurgical risk. However there are an indefinite ways of analyzing fMRI data. It could be divided into 2 main methods in general the model based methods and model free methods which generally uses Exploratory Data Analysis. In Exploratory Data Analysis we would be looking at the clustering branch of analysis which includes Fuzzy C Means, Crisp Clustering and Hierarchical analysis. The algorithms are implemented on real auditory data sets and synthetic datasets to compare the clustering performance. Bachelor of Engineering 2009-06-19T03:15:31Z 2009-06-19T03:15:31Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/18048 en Nanyang Technological University 93 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
spellingShingle DRNTU::Engineering
Teh, Sheng Qiao.
Investigation and implementation of image processing algorithms for medical applications
description Functional Magnetic Resonance Imaging (fMRI) is a relatively new form of neuroimaging techniques that measures haemodynamics response related to brain activity. This new ability to directly observe brain function opens an array of new opportunities to advance our understanding of brain organization, as well as a potential new standard for assessing neurological status and neurosurgical risk. However there are an indefinite ways of analyzing fMRI data. It could be divided into 2 main methods in general the model based methods and model free methods which generally uses Exploratory Data Analysis. In Exploratory Data Analysis we would be looking at the clustering branch of analysis which includes Fuzzy C Means, Crisp Clustering and Hierarchical analysis. The algorithms are implemented on real auditory data sets and synthetic datasets to compare the clustering performance.
author2 Mohammed Yakoob Siyal
author_facet Mohammed Yakoob Siyal
Teh, Sheng Qiao.
format Final Year Project
author Teh, Sheng Qiao.
author_sort Teh, Sheng Qiao.
title Investigation and implementation of image processing algorithms for medical applications
title_short Investigation and implementation of image processing algorithms for medical applications
title_full Investigation and implementation of image processing algorithms for medical applications
title_fullStr Investigation and implementation of image processing algorithms for medical applications
title_full_unstemmed Investigation and implementation of image processing algorithms for medical applications
title_sort investigation and implementation of image processing algorithms for medical applications
publishDate 2009
url http://hdl.handle.net/10356/18048
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