Abstract
The cerebral cortex is composed of regions with distinct laminar structure. Functional neuroimaging results are often reported with respect to these regions, usually by reference to a standard brain "atlas". Motivated by the need for more precise atlases, this paper describes an algorithm that parcellates the cortex into regions of distinct laminar structure. The problem is cast into a segmentation framework and modelled using a Markov random field-based approach. An evaluation of the algorithm on histology images is presented. This technique is presented with a view to producing parcellations on 3D in-vivo magnetic resonance (MR) images of living human subjects.
Original language | English |
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Title of host publication | Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04 |
Editors | M. Palaniswami, B. Krishnamachari, A. Sowmya, S. Challa, M. Palaniswami, B. Krishnamachari, A. Sowmya, S. Challa |
Pages | 559-564 |
Number of pages | 6 |
Publication status | Published - 1 Dec 2004 |
Externally published | Yes |
Event | International Conference on Intelligent Sensors, Sensor Networks and Information Processing 2004 - Melbourne, Australia Duration: 14 Dec 2004 → 17 Dec 2004 Conference number: 1st https://ieeexplore.ieee.org/xpl/conhome/9710/proceeding (Proceedings) |
Conference
Conference | International Conference on Intelligent Sensors, Sensor Networks and Information Processing 2004 |
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Abbreviated title | ISSNIP 2004 |
Country/Territory | Australia |
City | Melbourne |
Period | 14/12/04 → 17/12/04 |
Internet address |
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