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使用海马模板和边界位移积分自动计算海马萎缩率。

Automatic calculation of hippocampal atrophy rates using a hippocampal template and the boundary shift integral.

作者信息

Barnes J, Boyes R G, Lewis E B, Schott J M, Frost C, Scahill R I, Fox N C

机构信息

Dementia Research Centre, UCL, Institute of Neurology, London, UK.

出版信息

Neurobiol Aging. 2007 Nov;28(11):1657-63. doi: 10.1016/j.neurobiolaging.2006.07.008. Epub 2006 Aug 28.

Abstract

We describe a method of automatically calculating hippocampal atrophy rates on T1-weighted MR images without manual delineation of hippocampi. This method was applied to a group of Alzheimer's disease (AD) (n=36) and control (n=19) subjects and compared with manual methods (manual segmentation of baseline and repeat-image hippocampi) and semi-automated methods (manual segmentation of baseline hippocampi only). In controls, mean (S.D.) atrophy rates for manual, semi-automated, and automated methods were 18.1 (53.5), 15.3 (50.2) and 11.3 (50.4) mm3 loss per year, respectively. In AD patients these rates were 174.6 (106.5) 159.4 (101.2) and 172.1 (123.1) mm3 loss per year, respectively. The automated method was a significant predictor of disease (p=0.001) and gave similar group discrimination compared with both semi-automated and manual methods. The automated hippocampal analysis in this small study took approximately 20 min per hippocampal pair on a 3.4 GHz Intel Xeon server, whereas manual delineation of each hippocampal pair took approximately 90 min of operator-intensive labour. This method may be useful diagnostically or in studies where analysis of many scans may be required.

摘要

我们描述了一种在T1加权磁共振图像上自动计算海马萎缩率的方法,无需手动勾勒海马轮廓。该方法应用于一组阿尔茨海默病(AD)患者(n = 36)和对照组(n = 19),并与手动方法(对基线图像和重复图像的海马进行手动分割)和半自动方法(仅对基线图像的海马进行手动分割)进行比较。在对照组中,手动、半自动和自动方法的平均(标准差)萎缩率分别为每年18.1(53.5)、15.3(50.2)和11.3(50.4)mm³损失。在AD患者中,这些比率分别为每年174.6(106.5)、159.4(101.2)和172.1(123.1)mm³损失。自动方法是疾病的显著预测指标(p = 0.001),与半自动和手动方法相比,具有相似的组间区分能力。在这项小型研究中,在3.4 GHz英特尔至强服务器上,对每对海马进行自动分析大约需要20分钟,而手动勾勒每对海马则需要约90分钟的高强度人工操作。该方法在诊断或需要分析大量扫描的研究中可能有用。

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