Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/62074
Title: Image processing algorithms for medical applications
Authors: Naseef Abdul Kareem
Keywords: DRNTU::Engineering
Issue Date: 2014
Abstract: Last few years has witnessed exponential growth in neuro-scientific field, especially for brain connectivity. Brain connectivity is primarily classified into three - structural connectivity, functional connectivity and effective connectivity. The advancement of neuroimaging techniques like fMRI has accelerated the research pace. Among them, resting state fMRI has been gaining more momentum. Several observation and default mode network in the ‘task absent’ has caught the attention of scientists. As for analysis, time series extraction and graphical model representation methods are the most popular. Time series extraction gives a platform to apply different mathematical algorithms that have also been in use in other fields. Same time graphical representation summaries the global and regional variance into biologically meaningful properties. In this Final Year Project, a study on Functional connectivity analysis and Effective connectivity analysis were carried out. From the functional connectivity analyses, it has been observed that resting state connectivity of the brain is forming a Default Mode Network.
URI: http://hdl.handle.net/10356/62074
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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