Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/132134
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dc.titleIMPLEMENTATION, OPTIMIZATION, AND APPLICATION OF QUANTITATIVE MAGNETIZATION TRANSFER RATIO (QMTR)
dc.contributor.authorWONG CHUN KIT
dc.date.accessioned2016-11-30T18:00:49Z
dc.date.available2016-11-30T18:00:49Z
dc.date.issued2016-06-15
dc.identifier.citationWONG CHUN KIT (2016-06-15). IMPLEMENTATION, OPTIMIZATION, AND APPLICATION OF QUANTITATIVE MAGNETIZATION TRANSFER RATIO (QMTR). ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/132134
dc.description.abstractMagnetization transfer (MT) technique is an MRI technique to visualize chemical exchange between water and macromolecules in human body. However, traditional MT experiments are predominantly qualitative, while inter- and intra-subject comparisons are meaningful only if MT effect could be quantified. In this thesis, performance of the relatively new quantitative MT (qMT) technique is investigated and reviewed, followed by implementation of qMT on a clinical 3T Siemens MRI scanner. Post-processing tools are then developed to extract quantitative information from the qMT images. Healthy volunteers were scanned, establishing a table of normative qMT parameters within the healthy cohort. Later on, the minimization problem embedded within qMT is reformulated with inclusion of lower bound constraints, ensuring stability of the optimization algorithm. It is also further optimized, possibly reducing number of image acquisitions and scanning time required. All works then converge into a verified set of qMT protocol and post-processing tools for future applications.
dc.language.isoen
dc.subjectquantitative magnetization transfer, qMT, qMTR, MTR, MRI, quantitative MRI
dc.typeThesis
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.contributor.supervisorYEO BOON THYE THOMAS
dc.contributor.supervisorMARY CHARLOTTE STEPHENSON
dc.description.degreeMaster's
dc.description.degreeconferredMASTER OF ENGINEERING
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Master's Theses (Open)

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