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Needle Detection And Localization In Simulated In-vivo Ultrasound Image For Use In Breast Biopsy

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Needle Detection And Localization In Simulated In-vivo Ultrasound Image For Use In Breast Biopsy

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dc.contributor.author Khullar, Nidhi en_US
dc.date.accessioned 2012-04-11T20:56:12Z
dc.date.available 2012-04-11T20:56:12Z
dc.date.issued 2012-04-11
dc.date.submitted January 2011 en_US
dc.identifier.other DISS-11424 en_US
dc.identifier.uri http://hdl.handle.net/10106/9575
dc.description.abstract This thesis addresses needle segmentation in ultrasound images for breast cancer biopsy. The thesis reviews the state-of-the-art in object localization using ultrasound (US) imagery. In particular, principal component analysis, projection based methods (Hough Transform, Radon Transform and Parallel Integral Projection) and model fitting method using RANSAC and work in the field of diffusion filters are reviewed for potential use in a real breast biopsy environment, wherein the US imagery does not have much contrast and the speckle noise content is high. Other image artifacts in these images also mask the needle image.A new needle localization method called ANDSUI algorithm has been developed with focus on improved localization accuracy and computational complexity especially when the assumption "needle is brighter than background" fails such, in cases like needle is behind dense tissue. The new method and the state of the art methods have been compared to show that ANDSUI algorithm is superior. en_US
dc.description.sponsorship Devarajan, Venkat en_US
dc.language.iso en en_US
dc.publisher Electrical Engineering en_US
dc.title Needle Detection And Localization In Simulated In-vivo Ultrasound Image For Use In Breast Biopsy en_US
dc.type M.S. en_US
dc.contributor.committeeChair Devarajan, Venkat en_US
dc.degree.department Electrical Engineering en_US
dc.degree.discipline Electrical Engineering en_US
dc.degree.grantor University of Texas at Arlington en_US
dc.degree.level masters en_US
dc.degree.name M.S. en_US

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