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https://hdl.handle.net/10356/46852
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhang, Zheng | en_US |
dc.date.accessioned | 2011-12-23T10:01:09Z | |
dc.date.available | 2011-12-23T10:01:09Z | |
dc.date.copyright | 2009 | en_US |
dc.date.issued | 2009 | |
dc.identifier.uri | http://hdl.handle.net/10356/46852 | |
dc.description | 58 p. | en_US |
dc.description.abstract | The study was premised by relatively long scan times in producing an Magnetic Resonance Imaging (MRI) scan. To avoid this limitation, several methods have been proposed to combine parallel imaging and partial k-space reconstruction. Currently, the most well known is parallel MRI technology, and the major algorithms are PILS, SENSE, SMASH and GRAPPA. The degree of acceleration factor (reduction factor) and k-space fraction interact limits the total acceleration. | en_US |
dc.rights | Nanyang Technological University | en_US |
dc.subject | DRNTU::Engineering::Electrical and electronic engineering | en_US |
dc.title | Fast MRI Reconstruction : parallel imaging and partial K-space reconstruction | en_US |
dc.type | Thesis | en_US |
dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
dc.description.degree | Master of Science (Signal Processing) | en_US |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | EEE Theses |
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File | Description | Size | Format | |
---|---|---|---|---|
EEE_THESES_193.pdf Restricted Access | 5.54 MB | Adobe PDF | View/Open |
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