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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| Format: | Final Year Project (FYP) |
| Language: | English |
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2009
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| Online Access: | http://hdl.handle.net/10356/18048 |
| _version_ | 1811679140080779264 |
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| author | Teh, Sheng Qiao. |
| author2 | Mohammed Yakoob Siyal |
| author_facet | Mohammed Yakoob Siyal Teh, Sheng Qiao. |
| author_sort | Teh, Sheng Qiao. |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T03:04:25Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/18048 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:04:25Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | DRNTU::Engineering Teh, Sheng Qiao. Investigation and implementation of image processing algorithms for medical applications |
| title | 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_short | Investigation and implementation of image processing algorithms for medical applications |
| title_sort | investigation and implementation of image processing algorithms for medical applications |
| topic | DRNTU::Engineering |
| url | http://hdl.handle.net/10356/18048 |
| work_keys_str_mv | AT tehshengqiao investigationandimplementationofimageprocessingalgorithmsformedicalapplications |