Multi-atlas Segmentation of Brain Subcortical Structures Based on ITK Registration Framework
Nie Xiuling1, Liu Renyuan2, Lu Jiaming2, Zhang Bing2, Sun Yu1, Wan Suiren1#*
1Lab of Medical Electronics,Southeast University,Nanjing 210096, China 2Department of Radiology,Drum Tower Hospital Affiliated to Nanjing University Medical School,Nanjing 210008, China
Abstract：Numerous studies indicated that the process of Alzheimer's disease (AD) was closely correlated with atrophy of subcortical structures. Atrophy of some subcortical structures like hippocampi, could be a biomarker of early diagnosis of AD, which makes the segmentation of subcortical structures very important. Based on 3DT1W-MR images of 30 AD and 30 normal controls, we firstly performed brain tissue extraction combining histogram analysis and three-dimensional morphological processing method, then registered 10 brain atlas to the preprocessed image based on ITK registration framework. A two-stage images registration was applied to register multiple atlas on the subject MR scan. First, we applied affine registration with mean squares as metric. Second, B-spline transform based on mutual information model was applied to further registration. In the two-stage registration method, linear interpolation model and the optimizer named regular step gradient descent were used. After registration, STAPLE algorithm was achieved to perform image fusion on the obtained 10 registered images to get the final segmented image. The results show that all volumes of subcortical structures except caudate show no statistical differences between our method and FSL-FIRST algorithm (P>0.05); bilateral hippocampus and right nucleus accumbens suffer atrophy in AD (P<0.05). Our experimental data shows the validity of the multi-atlas-based segmentation method on segmentation of the brain subcortical structures.
聂秀玲, 刘任远, 陆加明, 张冰, 孙钰, 万遂人. 基于ITK多图谱配准的脑部皮质下核团的分割研究[J]. 中国生物医学工程学报, 2017, 36(5): 529-535.
Nie Xiuling, Liu Renyuan, Lu Jiaming, Zhang Bing, Sun Yu, Wan Suiren. Multi-atlas Segmentation of Brain Subcortical Structures Based on ITK Registration Framework. Chinese Journal of Biomedical Engineering, 2017, 36(5): 529-535.
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