Reconstructing undersampled MR Images by utilizingprincipal-component-analysis-based pattern recognition
Compressed sensing technique is a recent framework for signal sampling and recovery. It allows signal acquisition with less sampling than required by Nyquist-Shannon theorem and reduces data acquisition time in MRI. When the sampling rate is low, prior knowledge is essential to reconstruct the missi...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Universitätsbibliothek Leipzig
2015
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| Subjects: | |
| Online Access: | http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-179265 http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-179265 http://www.qucosa.de/fileadmin/data/qucosa/documents/17926/diff_fund_22%282014%2914.pdf |