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dc.contributor.advisorMcCane, Brendan
dc.contributor.authorMacDonell, Benjamin Lachlan
dc.date.available2014-10-12T20:24:56Z
dc.date.copyright2014
dc.identifier.citationMacDonell, B. L. (2014). Spinal Cord Axon Segmentation (Thesis, Master of Science). University of Otago. Retrieved from http://hdl.handle.net/10523/5025en
dc.identifier.urihttp://hdl.handle.net/10523/5025
dc.description.abstractAn automatic method for accurately segmenting MRI images of axons would reduce the manpower required for axon and myelin research. We implement active contours, which is reported to successfully identify axons in electron micrographs, and evaluate its performance on MRI images. We also show that a simple method for estimating the error of a segmentation can achieve similar results to a ground truth error function when applied to a parameter optimisation problem.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherUniversity of Otago
dc.rightsAll items in OUR Archive are provided for private study and research purposes and are protected by copyright with all rights reserved unless otherwise indicated.
dc.subjectactive contours
dc.subjectsnakes
dc.subjectaxon segmentation
dc.titleSpinal Cord Axon Segmentation
dc.typeThesis
dc.date.updated2014-10-12T19:55:07Z
dc.language.rfc3066en
thesis.degree.disciplineComputer Science
thesis.degree.nameMaster of Science
thesis.degree.grantorUniversity of Otago
thesis.degree.levelMasters
otago.openaccessOpen
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