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dc.contributor.advisorEramian, Mark G.en_US
dc.creatorBian, Naen_US
dc.date.accessioned2005-12-02T11:44:21Zen_US
dc.date.accessioned2013-01-04T05:09:41Z
dc.date.available2005-12-02T08:00:00Zen_US
dc.date.available2013-01-04T05:09:41Z
dc.date.created2005-09en_US
dc.date.issued2005-09-30en_US
dc.date.submittedSeptember 2005en_US
dc.identifier.urihttp://hdl.handle.net/10388/etd-12022005-114421en_US
dc.description.abstractOvarian follicles in women are fluid-filled structures in the ovary that contain oocytes (eggs). A dominant follicle is physiologically selected and ovulates during the menstrual cycle. We examined the echotexture in ultrasonographic images of the follicle wall of dominant ovulatory follicles in women during natural menstrual cycles and dominant anovulatory follicles which developed in women using oral contraceptives (OC). Texture features of follicle wall regions of both ovulatory and anovulatory dominant follicles were evaluated over a period of seven days before ovulation (natural cycles) or peak estradiol concentrations (OC cycles). Differences in echotexture between the two classes of follicles were found for two co-occurrence matrix derived texture features and two edge-frequency based texture features. Co-occurrence energy and homogeneity were significantly lower for ovulatory follicles while edge density and edge contrast were higher for ovulatory follicles. In the each feature space, the two classes of follicle were adequately separable.This thesis employed several statistical approaches to analyses of texture features, such as plotting method and the Mann-Kendall method. A distinct change of feature trend was detected 3 or 4 days before the day of ovulation for ovulatory follicles in the two co-occurrence matrix derived texture features and two edge-frequency-based texture features. Anovulatory follicles, exhibited the biggest variation of the feature value 3 or 4 days before the day on which dominant follicles developed to maximum size. This discovery is believed to correspond to the ovarian follicles responding to system hormonal changes leading to presumptive ovulation.en_US
dc.language.isoen_USen_US
dc.subjecttrend analysisen_US
dc.subjectovarian follicleen_US
dc.subjecttexture analysisen_US
dc.subjectfeature extractionen_US
dc.titleEvaluation of texture features for analysis of ovarian follicular developmenten_US
thesis.degree.departmentComputer Scienceen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorUniversity of Saskatchewanen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Science (M.Sc.)en_US
dc.type.materialtexten_US
dc.type.genreThesisen_US
dc.contributor.committeeMemberPierson, Roger A.en_US
dc.contributor.committeeMemberHorsch, Michael C.en_US
dc.contributor.committeeMemberAdams, Gregg P.en_US


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