Investigation and implementation of image processing algorithms for medical applications
Functional Magnetic Resonance Imaging (fMRI) allows non-invasive assessment of brain activity using MRI signal changes related to functional brain activity. The main aim of fMRI analysis is to detect changes in blood oxygenation and flow that occur when in response to neural activity. Activ...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/49871 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Functional Magnetic Resonance Imaging (fMRI) allows non-invasive assessment of
brain activity using MRI signal changes related to functional brain activity. The main
aim of fMRI analysis is to detect changes in blood oxygenation and flow that occur
when in response to neural activity. Activation maps can be produced using fMRI
which displays parts of the brain that are involved in a particular mental process.
This project aims to investigate fMRI data analysis techniques for activated voxel
detection. The techniques include Correlation Coefficient, General Linear Model and
Mutual Information. The project uses Statistical Parametric Mapping (SPM) and
Receiver Operating Characteristic (ROC) curves to compare the effectiveness of the
three mentioned fMRI data analysis techniques. |
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