Journal article

Development and Implementation of a Corriedale Ovine Brain Atlas for Use in Atlas-Based Segmentation

Kishan Andre Liyanage, Christopher Steward, Bradford Armstrong Moffat, Nicholas Lachlan Opie, Gil Simon Rind, Sam Emmanuel John, Stephen Ronayne, Clive Newton May, Terence John O'Brien, Marjorie Eileen Milne, Thomas James Oxley



Segmentation is the process of partitioning an image into subdivisions and can be applied to medical images to isolate anatomical or pathological areas for further analysis. This process can be done manually or automated by the use of image processing computer packages. Atlas-based segmentation automates this process by the use of a pre-labelled template and a registration algorithm. We developed an ovine brain atlas that can be used as a model for neurological conditions such as Parkinson's disease and focal epilepsy. 17 female Corriedale ovine brains were imaged in-vivo in a 1.5T (low-resolution) MRI scanner. 13 of the low-resolution images were combined using a template construction algor..

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Awarded by Defense Advanced Research Projects Agency (DARPA)

Awarded by Office of Naval Research (ONR)

Awarded by National Health and Medical Research Council of Australia (NHMRC)

Funding Acknowledgements

The research was supported by Defense Advanced Research Projects Agency (DARPA) MTO Contract No. N66001-12-1-4045 (TJO); Office of Naval Research (ONR) Global No. N62909-14-1-N020 (TJO); National Health and Medical Research Council of Australia (NHMRC) Project Grant APP1062532 (TJO) and Development Grant APP1075117 (TJO); Defence Health Foundation, Australia (Booster Grant) (TJO); Defence Science Institute, Australia, grant (TJO); Brain Foundation, Australia, research gift (TJO), and the Victorian Government's Operational Infrastructure Support Program (TJO). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.