Graph matching approach and generalized median graph for automatic labeling of cortical sulci with parallel and distributed algorithms |
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Institution: | 1. Department of Mathematics, Shaanxi University of Science & Technology, Xi’an 710021, China;2. Department of Mathematics, Shanghai Maritime University, Shanghai 201306, China;3. Department of Mathematics, University of New Mexico, Gallup, NM 87301, USA;4. Department of Mathematics, Obafemi Awolowo University, Ile Ife 220005, Nigeria;1. FEMTO-ST/ DISC dep., Franche-Comte University, 1 Rue Engel Gros, Belfort, France;2. PARADISE, University of Ottawa, 800 King Edward Avenue, Ottawa, Ontario, Canada;3. LMIA, Haute Alsace University, 4 rue des freres Lumiere, Mulhouse, France;1. School of Electronical and Electronics Engineering, Chung-Ang University, 84, Heukseok-Ro, Dongjak-Gu, Seoul 06974, Republic of Korea;2. Korea Institute of Industrial Technology, 143 Hanggaulro, Sangnok-gu, Ansan-si, Gyeonggi-do 15588, Republic of Korea |
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Abstract: | The human brain cortex is very complex structure containing folds (gyri) and fissures (sulci) that were the subject of our study in this paper. The sulcus is one of the most important features in order to know the different functions areas of the brain. The exact identification of sulci on human brain using MRI images is helpful in many studies and applications related to brain diseases and human behavior. Automatic labeling of cortical sulci with all this complexity and inter-subject variability, this is considered non-trivial task. In this paper, we have proposed a new graph based approach of automatic labeling of cortical sulci with parallel and distributed algorithms using graph matching and generalized median graph. The graph matching is very important in many studies and applications such as pattern recognition and classification. The generalized median graph of a set of graphs is a way to represent a set of graphs by a comprehensive graph that minimizes the sum of the distances to all graphs. We have used the characteristics of shape, orientation and location to describe the sulci. The results that we have obtained prove that our approach is accurate and acceptable in this field which uses the graph matching for automatic labeling of cortical sulci. |
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Keywords: | Sulcus recognition Median graph Generalized median graph Graph matching MRI Parallel matching |
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