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A volumetric approach to segmentation and texture characterisation of ultrasound images

dc.contributor.committeeMemberYang, Yee-Hongen_US
dc.contributor.committeeMemberPierson, Roger A.en_US
dc.creatorMuzzolini, Russell Ennioen_US
dc.date.accessioned2004-10-20T23:59:11Zen_US
dc.date.accessioned2013-01-04T05:02:05Z
dc.date.available1997-04-01T08:00:00Zen_US
dc.date.available2013-01-04T05:02:05Z
dc.date.created1997-04en_US
dc.date.issued1997-04-01en_US
dc.date.submittedApril 1997en_US
dc.description.abstractVisual interpretation of noisy images is not an easy problem. This is certainly apparent with ultrasound images. Due to the noise inherent in the images, it is often the case that discrepancies as to location of object boundaries and detection of different tissues arise even among highly trained physicians. The relatively low cost and short image acquisition time, however, make ultrasound an attractive imaging modality. Currently, diagnostic evaluation of ultrasound images is performed on two-dimensional (2D) cross-sections of the object of interest. No depth information is available and there is no way of viewing the outer surface of the object. The only way for a physician to visualise the entire object is by mentally reconstructing the object based on a series of a 2D images as well as prior expectations of the morphology of the object. In the case of abnormal or diseased growth, the physician's expectations often do not correspond to the actual morphology of the object. However, the use of three-dimensional (3D) data acquisition and visualisation may be used to overcome these problems. The present work addresses a number of difficulties in processing 3D ultrasound data. This includes special treatment of the volumetric ultrasound data obtained from a 3D probe, determination of 3D features of the different tissue types present in the ultrasound data and identification and localisation of objects (segmentation) in the volumetric ultrasound data. Experimental results obtained from synthesised and real ultrasound data demonstrate that the present work contributes significantly to the use of ultrasound imaging as a diagnostic tool. As well, the present work can be applied to different imaging modalities or different applications areas and is thus beneficial to the area of biomedical image processing, in general.en_US
dc.identifier.urihttp://hdl.handle.net/10388/etd-10202004-235911en_US
dc.language.isoen_USen_US
dc.subjectultrasonographyen_US
dc.subjectdiagnosisen_US
dc.subjectthree-dimensional imaging in medicineen_US
dc.subjectcomputer scienceen_US
dc.subjectultrasonic -- image qualityen_US
dc.subjectimage processingen_US
dc.titleA volumetric approach to segmentation and texture characterisation of ultrasound imagesen_US
dc.type.genreThesisen_US
dc.type.materialtexten_US
thesis.degree.departmentComputer Scienceen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorUniversity of Saskatchewanen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophy (Ph.D.)en_US

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