Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease.
Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease.
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DOI：
10.1016/j.neuroimage.2010.03.018
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发表时间：
2010-07-15
期刊：
影响因子：
5.7
通讯作者：
Ourselin, Sebastien
中科院分区：
文献类型：
--
作者：
Leung, Kelvin K.;Barnes, Josephine;Ridgway, Gerard R.;Bartlett, Jonathan W.;Clarkson, Matthew J.;Macdonald, Kate;Schuff, Norbert;Fox, Nick C.;Ourselin, Sebastien
海马体的体积及其体积变化都是阿尔茨海默病（AD）的重要标志物。在磁共振成像（MRI）上描绘该结构非常耗时，因此需要可靠的自动化方法。我们描述了对基于模板库的分割技术的一种改进（多图谱传播与分割（MAPS））。这种改进的技术利用来自我们手动分割库中最佳匹配模板的非线性配准来生成多种分割结果，并使用同时真实性和性能水平估计（STAPLE）算法将它们合并。通过使用MAPS区域应用边界位移积分来测量12个月内的体积变化（MAPS - HBSI）。这些方法是利用阿尔茨海默病神经影像学倡议（ADNI）的子集开发的，并通过与手动测量结果进行对比来验证。将最佳方法应用于682名ADNI受试者，在基线和12个月的随访中，能够评估对照组、轻度认知障碍（MCI）组和AD组以及根据后续临床结果分类的MCI亚组内的体积和萎缩率。我们将我们的测量结果与从ADNI获取的由外科导航技术（SNT）生成的结果进行了比较。我们的体积准确性是所报道的最高水平之一（平均（标准差）杰卡德指数为0.80（0.04）（N = 30））。MAPS基线体积和MAPS - HBSI萎缩率都能区分对照组、MCI组和AD组。比较MCI亚组（逆转者、稳定者和转化者）：与稳定者和逆转者组相比，转化者的体积更小，萎缩率更高（p≤0.03）。对于一项假设的试验，MAPS - HBSI所需的样本量最小（68名受试者）。总之，MAPS和MAPS - HBSI方法在从健康衰老到AD的整个临床范围内都能给出准确可靠的体积和萎缩率。
Volume and change in volume of the hippocampus are both important markers of Alzheimer's disease (AD). Delineation of the structure on MRI is time-consuming and therefore reliable automated methods are required. We describe an improvement (multiple-atlas propagation and segmentation (MAPS)) to our template library-based segmentation technique. The improved technique uses non-linear registration of the best-matched templates from our manually-segmented library to generate multiple segmentations and combines them using the simultaneous truth and performance level estimation (STAPLE) algorithm. Change in volume over 12 months (MAPS-HBSI) was measured by applying the boundary shift integral using MAPS regions. Methods were developed and validated against manual measures using subsets from Alzheimer's Disease Neuroimaging Initiative (ADNI). The best method was applied to 682 ADNI subjects, at baseline and 12-month follow-up, enabling assessment of volumes and atrophy rates in control, mild cognitive impairment (MCI) and AD groups, and within MCI subgroups classified by subsequent clinical outcome. We compared our measures with those generated by SNT (Surgical Navigation Technologies) available from ADNI. The accuracy of our volumes was one of the highest reported (mean(SD) Jaccard Index 0.80(0.04) (N=30)). Both MAPS baseline volume and MAPS-HBSI atrophy rate distinguished between control, MCI and AD groups. Comparing MCI subgroups (reverters, stable and converters): volumes were lower and rates higher in converters compared with stable and reverter groups (p≤0.03). MAPS-HBSI required the lowest sample sizes (68 subjects) for a hypothetical trial. In conclusion, the MAPS and MAPS-HBSI methods give accurate and reliable volumes and atrophy rates across the clinical spectrum from healthy aging to AD.
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影响因子：
4.2
作者：
Barnes, J.;Scahill, R. I.;Fox, N. C.
通讯作者：
Fox, N. C.
影响因子：
4.8
作者：
Collins, DL;Holmes, CJ;Evans, AC
通讯作者：
Evans, AC
影响因子：
5.7
作者：
Chupin M;Hammers A;Liu RS;Colliot O;Burdett J;Bardinet E;Duncan JS;Garnero L;Lemieux L
通讯作者：
Lemieux L
影响因子：
10.6
作者：
Freeborough, PA;Fox, NC
通讯作者：
Fox, NC
影响因子：
9.9
作者：
Devanand, D. P.;Pradhaban, G.;de Leon, M. J.
通讯作者：
de Leon, M. J.