dc.contributor.advisor |
Linney, Norma C. |
|
dc.creator |
Zhao, Zhenfeng |
|
dc.date.accessioned |
2012-11-14T18:23:04Z |
|
dc.date.available |
2012-11-14T18:23:04Z |
|
dc.date.issued |
2011 |
|
dc.identifier.other |
R857 T47 Z483 2011 |
|
dc.identifier.uri |
http://library2.smu.ca/xmlui/handle/01/24776 |
|
dc.description |
xix, 168 leaves : ill. (some col.) ; 29 cm. |
en_CA |
dc.description |
Includes abstract. |
|
dc.description |
Includes bibliographical references (leaves 142-152). |
|
dc.description.abstract |
Three dimensional models aid otolaryngologists in understanding the complex anatomical features of the human temporal bone. Many of these models are generated by reconstructing histological sections. The goal of this thesis is to provide improvements on these existing 3D reconstruction methods. Presented are a segmentation framework and a contour finding algorithm for histological slices, followed by Gaussian filtering and error analysis. An adaptive interpolation algorithm based on monotonic piecewise cubics is used to automatically generate missing anatomical structure. Part of the algorithm development was completed on CT scans with proposals for extension to histological slices. The contour finding and Gaussian filtering algorithms output valid data points for interpolation. The adaptive interpolation algorithm produces satisfactory results with the interpolation error for the malleus being 1.80% when half of the data is used. The equivalent 3D model volume difference was 0.24%. |
en_CA |
dc.description.provenance |
Submitted by Dianne MacPhee (dianne.macphee@smu.ca) on 2012-11-14T18:23:04Z
No. of bitstreams: 0 |
en |
dc.description.provenance |
Made available in DSpace on 2012-11-14T18:23:04Z (GMT). No. of bitstreams: 0
Previous issue date: 2011 |
en |
dc.language.iso |
en |
en_CA |
dc.publisher |
Halifax, N.S. : Saint Mary's University |
en_CA |
dc.subject.lcc |
R857.T47 |
|
dc.subject.lcsh |
Three-dimensional imaging in medicine |
|
dc.subject.lcsh |
Image reconstruction -- Mathematical models |
|
dc.subject.lcsh |
Temporal bone -- Imaging |
|
dc.title |
Application of image segmentation and adaptive interpolation techniques to 3D reconstruction of the human temporal bones |
en_CA |
dc.type |
Text |
en_CA |
thesis.degree.name |
Master of Science in Applied Science |
|
thesis.degree.level |
Masters |
|
thesis.degree.discipline |
Mathematics and Computing Science |
|
thesis.degree.grantor |
Saint Mary's University (Halifax, N.S.) |
|