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Inference of a dictionnary of cortical folding

Abstract : This thesis aims at proposing new descriptions of the variability of the folding of the human cortex using data mining. The main objective is the design of algorithms detecting folding patterns specific to a sub-population. The long term goal is the constitution of an exhaustive dictionary of all the folding patterns enriched with links to cognitive or architectural specificities, or to pathologies. Two clustering strategies are proposed to detect such patterns. The first one is based on global shape descriptors called the 3D moment invariants, the second one implies the computation of a pairwise distance matrix. A dedicated clustering algorithm is designed for robust detection of the most frequent patterns. A dimension reduction strategy is proposed to study the transition from one pattern to another across the population. The proposed framework is applied to the study of the shape of the sensori-motor cortex of a population of left-handers forced to write with the right hand. Original discoveries relating the shape of the central sulcus to handedness are achieved. The framework is finally used to build the first computerized dictionary of the cortical folding patterns.
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Submitted on : Thursday, February 2, 2012 - 10:51:34 AM
Last modification on : Tuesday, April 16, 2019 - 5:58:38 AM
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  • HAL Id : tel-00665526, version 1




Zhongyi Sun. Inference of a dictionnary of cortical folding. Other [cond-mat.other]. Université Paris Sud - Paris XI, 2011. English. ⟨NNT : 2011PA112067⟩. ⟨tel-00665526⟩



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