Artifact Reduction Strategy for Radar-based Microwave Imaging Designed for Medical Applications

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dc.contributor.advisorSmith, Mike
dc.contributor.advisorFear, Elise
dc.contributor.authorDasGupta, Ishani
dc.contributor.committeememberCuriel, Laura
dc.contributor.committeememberFar, Behrouz
dc.date2021-11
dc.date.accessioned2021-08-31T13:51:58Z
dc.date.available2021-08-31T13:51:58Z
dc.date.issued2021-08-24
dc.description.abstractThis thesis involves investigating the frequency domain data obtained from Tissue Sensing Adaptive Radar (TSAR), which is a near-field ultra-wideband radar imaging technique using microwaves that has potential as a new breast imaging modality. Domain transformations of the acquired data result in Gibbs’ distortions which can propagate through the data processing flow. These distortions or artifacts can be reduced by filtering the frequency data but with a loss in time domain resolution. Fourier Shift Manipulation (FSM) was explored as an alternative pre-processing technique that utilizes fundamental discrete Fourier transform (DFT) properties to shift the sampling locations of the signal, leading to artifact reduction with minimal loss of resolution. The extent of the removal of Gibbs’ artifacts led to investigations into specific improvements in the initial time-domain signals which were subsequently used for image formation. Further exploration involved the propagation of these distortions through the data flow and the impact they have on the clutter response in the final reconstructed images. The artifact reduction techniques were initially tested on simple simulated models, then extended to more complex datasets and finally patient data. Existing metrics were used to compare the outputs from these approaches, and new ones developed wherever necessary. The differences in the resulting images were compared with an emphasis on the degree of tumour detection. Future research would involve evaluating the compatibility of FSM with other image reconstruction algorithms, as well as modifying the removal of an inherent skin-breast artifact.en_US
dc.identifier.citationDasGupta, I. (2021). Artifact Reduction Strategy for Radar-based Microwave Imaging Designed for Medical Applications (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/39138
dc.identifier.urihttp://hdl.handle.net/1880/113788
dc.language.isoengen_US
dc.publisher.facultySchulich School of Engineeringen_US
dc.publisher.institutionUniversity of Calgaryen
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.en_US
dc.subjectSignal Processingen_US
dc.subjectImage Processingen_US
dc.subjectImagingen_US
dc.subjectMicrowave Imagingen_US
dc.subjectGibbs' artifactsen_US
dc.subjectRinging artifactsen_US
dc.subjectArtifact reductionen_US
dc.subjectFourieren_US
dc.subjectFourier Shift Manipulationen_US
dc.subject.classificationEngineering--Biomedicalen_US
dc.subject.classificationEngineering--Electronics and Electricalen_US
dc.titleArtifact Reduction Strategy for Radar-based Microwave Imaging Designed for Medical Applicationsen_US
dc.typemaster thesisen_US
thesis.degree.disciplineEngineering – Electrical & Computeren_US
thesis.degree.grantorUniversity of Calgaryen_US
thesis.degree.nameMaster of Science (MSc)en_US
ucalgary.item.requestcopytrueen_US
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