Thesis
Bayesian statistical models of shape and appearance for subcortical brain segmentation
- Abstract:
-
Our motivation is to develop an automated technique for the segmentation of sub-cortical human brain structures from MR images. To this purpose, models of shape-and-appearance are constructed and fit to new image data. The statistical models are trained from 317 manually labelled T1-weighted MR images. Shape is modelled using a surface-based point distribution model (PDM) such that the shape space is constrained to the linear combination of the mean shape and eigenvectors of the vertex coo...
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Funding
+ Engineering and Physical Sciences Research Council
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Funding agency for:
Patenaude, B
Bibliographic Details
- Publication date:
- 2007
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
-
uuid:52f5fee0-60e8-4387-9560-728843e187b3
- Local pid:
- ora:8408
- Deposit date:
- 2014-05-12
Terms of use
- Copyright holder:
- Patenaude, B
- Copyright date:
- 2008
- Notes:
- This thesis is not currently available via ORA.
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