Widz, Sebastian and Revett, Kenneth and Slezak, Dominik (2005) A rough set-based magnetic resonance imaging partial volume detection system. In: Pal, Sankar K. and Bandyopadhyay, Sanghamitra and Biswas, Sambhunath, (eds.) Pattern Recognition and Machine Intelligence: First International Conference, PReMI 2005, Kolkata, India, December 20-22, 2005: Proceedings. Lecture notes in computer science (3776). Springer, Berlin, Germany, pp. 756-761. ISBN 3540305068
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Official URL: http://dx.doi.org/10.1007/11590316_122
Segmentation of magnetic resonance imaging (MRI) data entails assigning tissue class labels to voxels. The primary source of segmentation error is the partial volume effect (PVE) which occurs most often with low resolution imaging - With large voxels, the probability of a voxel containing multiple tissue classes increases. Although the PVE problem has not been solved, the first stage entails correctly identifying PVE voxels. We employ rough sets to identify them automatically.
|Item Type:||Book Section|
|Research Community:||University of Westminster > Electronics and Computer Science, School of|
|Deposited On:||28 Jun 2006|
|Last Modified:||16 Oct 2009 10:55|
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