Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/49871
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dc.contributor.authorKhiew, Cecilia Hui Hui.
dc.date.accessioned2012-05-25T03:23:33Z
dc.date.available2012-05-25T03:23:33Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/10356/49871
dc.description.abstractFunctional 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.en_US
dc.format.extent44 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleInvestigation and implementation of image processing algorithms for medical applicationsen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorMohammed Yakoob Siyalen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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