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作 者:Huang Xiaoqi Lu Su Li Dongming Gong Qiyong
机构地区:[1]Huaxi MR Research Centre (HMRRC), and Department of Radlology, West China Hospital / West China School of Medicine, Chengdu 610041, China [2]Department of Psychiatry, West China Hospital / West China School of Medicine, Chengdu 610041, China [3]Division of Medical Imaging, Faculty of Medicine, University of Liverpool, United Kingdom
出 处:《Progress in Natural Science:Materials International》2007年第7期751-760,共10页自然科学进展·国际材料(英文版)
基 金:National Natural Science Foundation of China(Grant Nos.30625024,30530300);the programs for NCET in University(Grant No.04-0866);SRFDP(Grant No.20060610073);SRF for ROCS(Grant No.2005383-10-5)from SEM;the Distinguished Young Scholars of Sichuan(Grant No.05ZQ026-031);the UK Royal Society International Joint Project with NSFC.
摘 要:Magnetic resonance (MR) imaging based volumetry is recognized as an important technique for studying the brain. In this review, two principle volumetric methods using high resolution MR images were introduced, namely the Cavalieri method and the voxel based morphometry (VBM). The Cavalieri method represents a manual technique that allows the volume of brain structures to be estimated efficiently with no systematic error or sampling bias, whereby the VBM represents an automated image analysis which involves the use of statistical parametric mapping of the MR imaging data. Both methods have been refined and applied extensively in recent neuroscience research. The present paper aims to describe the development of methodologies and also to update the knowledge of their applications in studying the normal and diseased brain.磁性的回声(先生) 成像基于容量测定为学习大脑作为一种重要技术被认出。在这评论,二个原则用高分辨率伊马盖斯先生的容量的方法被介绍,也就是, Cavalieri 方法和 voxel 基于 morphometry (VBM ) 。Cavalieri 方法代表允许没有系统的错误或采样偏爱高效地要估计的大脑结构的卷的一种用手的技术, VBM 由此代表包含先生成像数据的统计参量的印射的使用的自动化图象分析。方法在最近的神经科学研究广泛地被精制了并且适用。现在的论文试图描述方法论并且也的发展在学习正常和 diseased 大脑更新他们的应用程序的知识。
关 键 词:MR imaging Cavalieri method voxel-based morphometry BRAIN volumetry.
分 类 号:R445.2[医药卫生—影像医学与核医学]
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