Markov random field-based parcellation of the cerebral cortex: Application to histology images

Chris Adamson, Rhodri Davies, Terrie Inder, Sandra Rees, Iven Marcel, Gary Egan

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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 languageEnglish
Title of host publicationProceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04
EditorsM. Palaniswami, B. Krishnamachari, A. Sowmya, S. Challa, M. Palaniswami, B. Krishnamachari, A. Sowmya, S. Challa
Pages559-564
Number of pages6
Publication statusPublished - 1 Dec 2004
Externally publishedYes
EventInternational Conference on Intelligent Sensors, Sensor Networks and Information Processing 2004 - Melbourne, Australia
Duration: 14 Dec 200417 Dec 2004
Conference number: 1st
https://ieeexplore.ieee.org/xpl/conhome/9710/proceeding (Proceedings)

Conference

ConferenceInternational Conference on Intelligent Sensors, Sensor Networks and Information Processing 2004
Abbreviated titleISSNIP 2004
Country/TerritoryAustralia
CityMelbourne
Period14/12/0417/12/04
Internet address

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