Image processing algorithms for three-dimensional segmentation of the tumor mass in computed tomographic images of neuroblastoma

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dc.contributor.advisorRangayyan, Rangaraj M.
dc.contributor.authorDeglint, Hanford John
dc.date.accessioned2005-08-16T16:55:10Z
dc.date.available2005-08-16T16:55:10Z
dc.date.issued2004
dc.descriptionBibliography: p. 96-105en
dc.descriptionSome pages are in colour.en
dc.description.abstractTumor definition and diagnosis require the analysis of the spatial distribution and Hounsfield unit (HU) values of voxels in computed tomography (CT) images, coupled with a knowledge of normal anatomy. Segmentation of the tumor in neuroblastoma is complicated by the fact that the mass is almost always heterogeneous in nature; furthermore, viable tumor, necrosis, fibrosis, and normal tissue are often intermixed. This study has developed strategies to improve tumor segmentation. In this scheme, the normal structures expected in abdominal CT images are delineated and removed from further consideration; the remaining parts of the image volume are then examined for the tumor mass. Mathematical morphology, fuzzy connectivity, and other image processing tools are deployed for this purpose. Expert knowledge provided by the radiologist in the form of the expected structures and their shapes, HU values, and radiological characteristics are also incorporated into the segmentation algorithm. Segmentation and analysis of the tissue composition of the tumor can assist in quantitative assessment of the response to chemotherapy and in the planning of delayed surgery for resection of the tumor. The performance of the algorithm is evaluated using cases acquired from the Alberta Children's Hospital.en
dc.format.extentxv, 105 leaves : ill. ; 30 cm.en
dc.identifier.citationDeglint, H. J. (2004). Image processing algorithms for three-dimensional segmentation of the tumor mass in computed tomographic images of neuroblastoma (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/16289en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/16289
dc.identifier.isbn0612975290en
dc.identifier.lccAC1 .T484 2004 D44en
dc.identifier.urihttp://hdl.handle.net/1880/41446
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
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.
dc.titleImage processing algorithms for three-dimensional segmentation of the tumor mass in computed tomographic images of neuroblastoma
dc.typemaster thesis
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
ucalgary.thesis.accessionTheses Collection 58.002:Box 1497 520492014
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
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