Cardiac motion analysis in MRI for classification

dc.contributorGraduate Program in Biomedical Engineering.
dc.contributor.advisorÖzkan, Mehmed.
dc.contributor.authorGöksel, Dilek.
dc.date.accessioned2023-03-16T13:14:16Z
dc.date.available2023-03-16T13:14:16Z
dc.date.issued2002.
dc.description.abstractAlthough several techniques exist for the analysis of cardiac tagged MR images, a rapid screening tool do not yet exits. Our proposed technique tries to perform rapid classification to diagnose the abnormalities in human left ventricle and the final aim of this study is to identify the investigated myocardium in the analyzed tagged MR images as pathological and non.In this thesis, images are first analyzed using harmonic phase (HARP) analysis and synthetic tags are computed over the myocardium. The data is normalized to perform a comparison between different myocardiums having various tag lines and time frames. The aim of the normalization is to eliminate the shift, scale and rotation variance. Cubic curves are fitted to the normalized tags and curve parameters are compared at various regions of the myocardium. In this initial study, the curve parameters are examined with probability density function between normal and diseased hearts, such as left ventricles with dilated cardiomyopathy (DCM) and infarcted regions. Finally, the confusion matrix is evaluated to examine the correctness of the segmentation algorithm. This method could be a very fast and automatic screening tool for identifying diseased locations in tagged MRI.
dc.format.extent30 cm.
dc.format.pagesxi, 69 leaves ;
dc.identifier.otherBM 2002 G65
dc.identifier.urihttps://digitalarchive.library.bogazici.edu.tr/handle/123456789/18987
dc.publisherThesis (M.S.) - Bogazici University. Institue of Biomedical Engineering, 2002.
dc.relationIncludes appendices.
dc.relationIncludes appendices.
dc.subject.lcshHeart -- Magnetic resonance imaging.
dc.subject.lcshPhase space (Statistical physics)
dc.subject.lcshHarmonic analysis.
dc.titleCardiac motion analysis in MRI for classification

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
b1237979.010943.001.PDF
Size:
4.41 MB
Format:
Adobe Portable Document Format

Collections