Image quality impact of randomized sampling trajectories in MRI: Implications for compressed sensing

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atmire.migration.oldid5768
dc.contributor.advisorLebel, Robert Marc
dc.contributor.advisorFrayne, Richard
dc.contributor.authorJones, Melissa
dc.date.accessioned2017-07-12T22:32:25Z
dc.date.available2017-07-12T22:32:25Z
dc.date.issued2017
dc.date.submitted2017en
dc.description.abstractMagnetic resonance imaging provides exceptional soft tissue contrast but it is limited by long scan times. Compressed sensing (CS) is a novel technique that leverages the underlying transform sparsity of medical images, randomized under-sampling of k-space, and nonlinear reconstruction to recover images from accelerated scans. However, in some cases image quality of prospectively implemented CS is not as good as predicted by retrospectively under-sampled data. This dissertation investigates the source of decreased image quality in CS. Our findings demonstrate that random k-space trajectories are specifically susceptible to encoding errors between repetition periods. Sources of errors may be due to eddy currents or motion, and errors have implications for accelerated reconstructions. CS is sensitive to data inconsistencies from random trajectories as acceleration rates increase, but minimizing trajectory length in random under-sampled trajectories can reduce data inconsistencies. Solving these issues will improve image quality and help realize the potential of CS.en_US
dc.identifier.citationJones, M. (2017). Image quality impact of randomized sampling trajectories in MRI: Implications for compressed sensing (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/26446en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/26446
dc.identifier.urihttp://hdl.handle.net/11023/3948
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectEngineering--Biomedical
dc.subject.othermagnetic resonance imaging
dc.subject.othercompressed sensing
dc.subject.othereddy currents
dc.titleImage quality impact of randomized sampling trajectories in MRI: Implications for compressed sensing
dc.typemaster thesis
thesis.degree.disciplineBiomedical Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
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