Show simple item record

dc.contributor.advisorÇukur, Emine Ülkü Sarıtaş
dc.contributor.authorİlbey, Serhat
dc.date.accessioned2018-05-18T11:15:23Z
dc.date.available2018-05-18T11:15:23Z
dc.date.copyright2018-05
dc.date.issued2018-05
dc.date.submitted2018-05
dc.identifier.urihttp://hdl.handle.net/11693/46943
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionThesis (M.S.): Bilkent University, Department of Electrical and Electronics Engineering, İhsan Doğramacı Bilkent University, 2018.en_US
dc.descriptionIncludes bibliographical references (leaves 52-57).en_US
dc.description.abstractMagnetic particle imaging (MPI) is a relatively new medical imaging modality that images the spatial distribution of magnetic nanoparticles (MNPs) administered to the body. For image reconstruction with the system matrix (SM) approach, a time-consuming calibration scan is necessary, in which a single MNP sample is placed and scanned inside the full eld-of-view (FOV). Moreover, for a relatively large 3D high-resolution FOV, the reconstructed SM is too large to get high quality images in real-time using the standard state-of-the-art techniques. In this thesis, for the calibration scan, the use of coded calibration scenes (CCSs) is proposed, which utilizes MNP samples at multiple positions inside the FOV. The SM, which is sparse in the discrete cosine transform domain, is reconstructed using the Alternating Direction Method of Multipliers (ADMM) with l1-norm minimization. The e ectiveness of the CCSs for di erent parameter sets is analyzed via simulations, and the results are compared with the standard sparse reconstruction technique. As the MPI images are naturally sparse, ADMM is also proposed for image reconstruction, minimizing the total variation and l1-norm. Image quality is compared with the images obtained by widely used MPI image reconstruction algorithms: Algebraic Reconstruction Technique, Nonnegative Fused LASSO, and X-space-based projection reconstruction. Moreover, ADMM is parallelized on a GPU for real-time image reconstruction. The results show that the required number of measurements for system calibration is substantially reduced with the proposed methods, and the reconstruction performance is signi cantly improved in terms of both image quality and speed.en_US
dc.description.statementofresponsibilityby Serhat İlbey.en_US
dc.format.extentxiii, 57 leaves : charts (some color) ; 30 cmen_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMagnetic Particle Imagingen_US
dc.subjectCompressed Sensingen_US
dc.subjectSystem Matrixen_US
dc.subjectImage Reconstructionen_US
dc.titleFast calibration and image reconstruction for magnetic particle imagingen_US
dc.title.alternativeManyetik parçacık görüntüleme için hızlı kalibrasyon ve görüntü geriçatımıen_US
dc.typeThesisen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US
dc.identifier.itemidB158356
dc.embargo.release2019-05-17


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record