Computer-assisted Screening of Motion Artefact for Quality Control in Large-scale MR Imaging Trials

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atmire.migration.oldid5809
dc.contributor.advisorFrayne, Richard
dc.contributor.authorAdair, David
dc.contributor.committeememberGobbi, David
dc.contributor.committeememberHu, Yaoping
dc.contributor.committeememberKrishnamurthy, Diwakar
dc.date.accessioned2017-07-25T15:27:13Z
dc.date.available2017-07-25T15:27:13Z
dc.date.issued2017
dc.date.submitted2017en
dc.description.abstractAs the scale of medical imaging trials increases, manual quality control of the enormous volume of imaging data becomes intractable and costly. Machine learning may provide solutions to reduce the challenge of these large trials through the development of computer-assisted screening tools. The objective of this dissertation was to evaluate the suitability of machine learning for solving scalability problems of manual quality control by training an automated classifier to detect simulated motion artefact on otherwise high-quality magnetic resonance images of healthy human brain. The classifier achieved high accuracy (98.5%) without any performance optimization, and, incidentally, discovered a screening error within the experiment dataset, further demonstrating the power of machine learning in this domain and encouraging further research towards computer-assisted screening tools.en_US
dc.identifier.citationAdair, D. (2017). Computer-assisted Screening of Motion Artefact for Quality Control in Large-scale MR Imaging Trials (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/25401en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/25401
dc.identifier.urihttp://hdl.handle.net/11023/3985
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.subjectRadiology
dc.subjectArtificial Intelligence
dc.subjectComputer Science
dc.subjectEngineering--Biomedical
dc.subject.othermagnetic resonance imaging
dc.subject.otherMachine Learning
dc.subject.otherradiology
dc.subject.otherquality control
dc.subject.othermotion artefact
dc.titleComputer-assisted Screening of Motion Artefact for Quality Control in Large-scale MR Imaging Trials
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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