Bayesian segmentation of brainstem structures in MRI.
Bayesian segmentation of brainstem structures in MRI.
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DOI：
10.1016/j.neuroimage.2015.02.065
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发表时间：
2015-06
期刊：
影响因子：
5.7
通讯作者：
Alzheimer's Disease Neuroimaging Initiative
中科院分区：
文献类型：
--
作者：
Iglesias JE;Van Leemput K;Bhatt P;Casillas C;Dutt S;Schuff N;Truran-Sacrey D;Boxer A;Fischl B;Alzheimer's Disease Neuroimaging Initiative
在本文中，我们提出了一种从三维脑MRI扫描中分割四个脑干结构（中脑、脑桥、延髓和小脑上脚）的方法。该分割方法依赖于脑干及其邻近脑结构的概率图谱。为了建立图谱，我们结合了39次扫描的数据集和已经存在的整个脑干的手工描绘，以及10次扫描的数据集，其中脑干结构是用专门为本研究设计的协议手工标记的。由此产生的图谱可以在贝叶斯框架中用于在新的扫描中分割脑干结构。由于该方案的生成特性，分割方法对MRI对比度或采集硬件的变化具有鲁棒性。通过交叉验证，我们证明该算法可以在以前未见过的T1和FLAIR扫描中分割结构，具有很高的准确性（平均误差小于1 mm）和鲁棒性（383次扫描中没有失败，包括168例AD）。我们还通过研究衰老过程中脑干萎缩的实验间接评价了该算法。结果表明，当同时使用时，中脑、脑桥和脑髓的体积比整个脑干的体积更能预测年龄。结果还表明，该方法可以检测脑干结构的萎缩模式，这在以前的文献中已经描述过。最后，我们证明了所提出的算法能够检测AD对脑干结构的不同影响。该方法将作为流行的神经成像软件包FreeSurfer的一部分实现。
In this paper we present a method to segment four brainstem structures (midbrain, pons, medulla oblongata and superior cerebellar peduncle) from 3D brain MRI scans. The segmentation method relies on a probabilistic atlas of the brainstem and its neighboring brain structures. To build the atlas, we combined a dataset of 39 scans with already existing manual delineations of the whole brainstem and a dataset of 10 scans in which the brainstem structures were manually labeled with a protocol that was specifically designed for this study. The resulting atlas can be used in a Bayesian framework to segment the brainstem structures in novel scans. Thanks to the generative nature of the scheme, the segmentation method is robust to changes in MRI contrast or acquisition hardware. Using cross validation, we show that the algorithm can segment the structures in previously unseen T1 and FLAIR scans with great accuracy (mean error under 1 mm) and robustness (no failures in 383 scans including 168 AD cases). We also indirectly evaluate the algorithm with a experiment in which we study the atrophy of the brainstem in aging. The results show that, when used simultaneously, the volumes of the midbrain, pons and medulla are significantly more predictive of age than the volume of the entire brainstem, estimated as their sum. The results also demonstrate that that the method can detect atrophy patterns in the brainstem structures that have been previously described in the literature. Finally, we demonstrate that the proposed algorithm is able to detect differential effects of AD on the brainstem structures. The method will be implemented as part of the popular neuroimaging package FreeSurfer.
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影响因子：
2.8
作者：
RAININKO, R;AUTTI, T;SANTAVUORI, P
通讯作者：
SANTAVUORI, P
影响因子：
48
作者：
Boxer, Adam L.;Lang, Anthony E.;Grossman, Murray;Knopman, David S.;Miller, Bruce L.;Schneider, Lon S.;Doody, Rachelle S.;Lees, Andrew;Golbe, Lawrence I.;Williams, David R.;Corvol, Jean-Cristophe;Ludolph, Albert;Burn, David;Lorenzl, Stefan;Litvan, Irene;Roberson, Erik D.;Hoeglinger, Guenter U.;Koestler, Mary;Jack, Clifford R., Jr.;Van Deerlin, Viviana;Randolph, Christopher;Lobach, Iryna V.;Heuer, Hilary W.;Gozes, Illana;Parker, Lesley;Whitaker, Steve;Hirman, Joe;Stewart, Alistair J.;Gold, Michael;Morimoto, Bruce H.
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影响因子：
5.7
作者：
Patenaude, Brian;Smith, Stephen M.;Kennedy, David N.;Jenkinson, Mark
通讯作者：
Jenkinson, Mark
DOI：
10.1016/j.ijrobp.2004.08.055
发表时间：
2005-01-01
影响因子：
7
作者：
Bondiau, PY;Malandain, G;Ayache, N
通讯作者：
Ayache, N
影响因子：
10.6
作者：
Sled, JG;Zijdenbos, AP;Evans, AC
通讯作者：
Evans, AC