婴儿脑MRI图谱的研究和应用进展
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摘要
介绍了多种不同类型的婴儿脑MRI图谱并简述了其构建过程,阐述了婴儿脑MRI图谱在婴儿脑图像分割中的应用并分析了图像分割结果产生误差的原因,提出图像分割结果由脑图谱的图像配准与分割算法共同决定。最后讨论了当前婴儿脑图谱研究和应用中的局限性以及该领域未来的发展趋势。
The types and construction of the human infant brain MRI atlases that were publically available were described.The application of infant brain atlas in infant image segmentation was summarized. The causes for errors during image segmentation were analysed, and it's proposed the image segmentation results should be determined by image registration and segmentation algorithm of brain atlas. Finally, the limitations in current research and suggest potential future research directions were discussed.
The types and construction of the human infant brain MRI atlases that were publically available were described.The application of infant brain atlas in infant image segmentation was summarized. The causes for errors during image segmentation were analysed, and it's proposed the image segmentation results should be determined by image registration and segmentation algorithm of brain atlas. Finally, the limitations in current research and suggest potential future research directions were discussed.
引文
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[16]KUKLISOVA-MURGASOVA M,ALJABAR P,SRINIVAS-AN L,et al.A dynamic 4D probabilistic atlas of the developing brain[J].Neuroimage,2011,54(4):2 750-2 763.
[17]ZHANG Y,SHI F,WU G,et al.Consistent spatial-temporal longitudinal atlas construction for developing infant brains[J].IEEE Trans Med Imaging,2016,35(12):2 568-2 577.
[18]BERNAL J,KUSHIBAR K,ASFAW D S,et al.Deep convolutional neural networks for brain image analysis on magnetic resonance imaging:a review[EB/OL].[2018-11-10].https://doi.org/10.1016/j.artmed.2018.08.008.
[19]田苗,林岚,张柏雯,等.深度学习在神经影像中的应用研究[J].中国医疗设备,2016,31(12):4-9.
[20]GOUSIAS I S,HAMMERS A,COUNSELL S J,et al.Magnetic resonance imaging of the newborn brain:automatic segmentation of brain images into 50 anatomical regions[J].PLoSOne,2013,8(4):e59990.
[21]SHI F,FAN Y,TANG S,et al.Neonatal brain image segmentation in longitudinal MRI studies[J].Neuroimage,2009,49(1):391-400.
[22]WANG L,SHI F,YAP P T,et al.Longitudinally guided level sets for consistent tissue segmentation of neonates[J].Hum Brain Mapp,2013,34(4):956-972.
[2]HOLLAND D,CHANG L,ERNST T M,et al.Structural growth trajectories and rates of change in the first 3 months of infant brain development[J].JAMA Neurol,2014,71(10):1 266-1 274.
[3]LYALL A E,SHI F,GENG X,et al.Dynamic development of regional cortical thickness and surface area in early childhood[J].Cereb Cortex,2015,25(8):2 204-2 212.
[4]GILMORE J H,KANG C,EVANS D D,et al.Prenatal and neonatal brain structure and white matter maturation in children at high risk for schizophrenia[J].Am J Psychiatry,2010,167(9):1 083-1 091.
[5]HAZLETT H C,POE M,GERIG G,et al.Magnetic resonance imaging and head circumference study of brain size in autism:birth through age 2 years[J].Arch Gen Psychiatry,2005,62(12):1 366-1 376.
[6]HAZLETT H C,POE M D,GERIG G,et al.Early brain overgrowth in autism associated with an increase in cortical surface area before age 2 years[J].Arch Gen Psychiatry,2011,68(5):467-476.
[7]TALAIRACH J,TOURNOUX P.Co-planar stereotaxic atlas of the human brain:3-d proportional system:an approach to cerebral imaging[M].New York:Clinical Neurology&Neurosurgery,1988:277-278.
[8]EVANS A C,JANKE A L,COLLINS D L,et al.Brain templates and atlases[J].Neuroimage,2012,62(2):911-922.
[9]汤煜春,刘树伟,孙博,等.数字化脑图谱研究进展[J].中国数字医学,2012,7(1):21-24.
[10]付振荣,林岚,张柏雯,等.基于MRM的小鼠脑模板创建的研究进展[J].中国医疗设备,2016,31(2):25-30.
[11]陈艳玲,陈碧娟,李文生.基于体素的健康中国成人概率性弥散张量成像脑图谱的建立[J].解剖学报,2012,43(2):225-231.
[12]OISHI K,MORI S,DONOHUE P K,et al.Multi-contrast human neonatal brain atlas:application to normal neonate development analysis[J].Neuroimage,2011,56(1):8-20.
[13]OISHI K,FARIA A,JIANG H,et al.Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping:application to normal elderly and Alzheimer’s disease participants[J].Neuroimage,2009,46(2):486-499.
[14]AKIYAMA L F,RICHARDS T R,IMADA T,et al.Age-specific average head template for typically developing 6-monthold infants[J].PLoS One,2013,8(9):e73821.
[15]TZOURIO-MAZOYER N,LANDEAU B,PAPATHANASSI-OU D,et al.Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNIMRI single-subject brain[J].Neuroimage,2002,15(1):273-289.
[16]KUKLISOVA-MURGASOVA M,ALJABAR P,SRINIVAS-AN L,et al.A dynamic 4D probabilistic atlas of the developing brain[J].Neuroimage,2011,54(4):2 750-2 763.
[17]ZHANG Y,SHI F,WU G,et al.Consistent spatial-temporal longitudinal atlas construction for developing infant brains[J].IEEE Trans Med Imaging,2016,35(12):2 568-2 577.
[18]BERNAL J,KUSHIBAR K,ASFAW D S,et al.Deep convolutional neural networks for brain image analysis on magnetic resonance imaging:a review[EB/OL].[2018-11-10].https://doi.org/10.1016/j.artmed.2018.08.008.
[19]田苗,林岚,张柏雯,等.深度学习在神经影像中的应用研究[J].中国医疗设备,2016,31(12):4-9.
[20]GOUSIAS I S,HAMMERS A,COUNSELL S J,et al.Magnetic resonance imaging of the newborn brain:automatic segmentation of brain images into 50 anatomical regions[J].PLoSOne,2013,8(4):e59990.
[21]SHI F,FAN Y,TANG S,et al.Neonatal brain image segmentation in longitudinal MRI studies[J].Neuroimage,2009,49(1):391-400.
[22]WANG L,SHI F,YAP P T,et al.Longitudinally guided level sets for consistent tissue segmentation of neonates[J].Hum Brain Mapp,2013,34(4):956-972.