本文選題：腦島功能劃分　切入點(diǎn)：高斯混合模型(GMM)　出處：《浙江大學(xué)學(xué)報(bào)(工學(xué)版)》2017年12期

【摘要】：為了得到更好的腦島功能劃分結(jié)構(gòu),加深人們對(duì)其功能組織性的理解,提出一種基于免疫克隆選擇(ICS)算法搜索高斯混合模型(GMM)的腦島功能劃分方法(NICS-GMM).該方法基于功能磁共振成像(fMRI)數(shù)據(jù),將GMM映射到抗體上;利用ICS算法搜索能夠反映腦島功能分布的GMM,并在搜索過(guò)程中融入具有抗噪能力的動(dòng)態(tài)鄰域信息,以提高其搜索質(zhì)量;利用最優(yōu)的GMM實(shí)現(xiàn)對(duì)腦島的功能劃分.在劃分?jǐn)?shù)為2~12的腦島功能劃分上,新方法搜得的GMM具有最高的似然分?jǐn)?shù),而且相應(yīng)劃分結(jié)果的輪廓系數(shù)也達(dá)到了最大值.真實(shí)腦島fMRI數(shù)據(jù)上的實(shí)驗(yàn)結(jié)果表明,該方法不僅具有更強(qiáng)的全局搜索能力,還可以得到具有較高功能一致性與更強(qiáng)區(qū)域連續(xù)性的腦島功能劃分結(jié)構(gòu).
[Abstract]:In order to get a better functional division structure of the brain island and deepen people's understanding of its function organization, This paper presents a method of functional division of cerebral islands based on immune Clone selection (ICS) algorithm to search Gao Si mixed model (GMM). The method is based on functional magnetic resonance imaging (fMRI) data and maps GMM to antibodies. The ICS algorithm is used to search the GMMs which can reflect the functional distribution of the cerebral islands, and the dynamic neighborhood information with anti-noise ability is incorporated into the search process to improve the search quality. The optimal GMM is used to realize the functional division of the cerebral islands. The GMM obtained by the new method has the highest likelihood fraction in the functional division of the islands with the number of 2o 12. The contour coefficients of the corresponding partition results also reach the maximum. The experimental results on the real fMRI data show that the proposed method not only has a stronger global search ability, Furthermore, the functional division structure with higher functional consistency and stronger regional continuity can be obtained.
【作者單位】： 北京工業(yè)大學(xué)信息學(xué)部多媒體與智能軟件技術(shù)北京市重點(diǎn)實(shí)驗(yàn)室;南陽(yáng)師范學(xué)院軟件學(xué)院;
【基金】：國(guó)家“973”重點(diǎn)基礎(chǔ)研究發(fā)展規(guī)劃資助項(xiàng)目(2014CB744601) 國(guó)家自然科學(xué)基金資助項(xiàng)目(61375059,61672065) 河南省科技廳科技攻關(guān)資助項(xiàng)目(142102210588) 南陽(yáng)師范學(xué)院校級(jí)青年科研資助項(xiàng)目(QN2017040)
【分類(lèi)號(hào)】：R338;TP301.6
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本文編號(hào)：1680312