Detailed anatomic segmentations of a fetal brain diffusion tensor imaging atlas between 23 and 30 weeks of gestation

被引:11
|
作者
Calixto, Camilo [1 ,2 ]
Machado-Rivas, Fedel [1 ,2 ]
Karimi, Davood [1 ,2 ]
Cortes-Albornoz, Maria C. [1 ,2 ]
Acosta-Buitrago, Lina M. [4 ]
Gallo-Bernal, Sebastian [2 ,3 ]
Afacan, Onur [1 ,2 ]
Warfield, Simon K. [1 ,2 ]
Gholipour, Ali [1 ,2 ]
Jaimes, Camilo [1 ,2 ,5 ]
机构
[1] Boston Childrens Hosp, Dept Radiol, Computat Radiol Lab, Boston, MA USA
[2] Harvard Med Sch, Boston, MA USA
[3] Massachusetts Gen Hosp, Boston, MA USA
[4] Univ Rosario, Sch Med, Bogota, Colombia
[5] Boston Childrens Hosp, Dept Radiol, 55 Fruit St,2ndfloor Main Bldg, Boston, MA 02215 USA
关键词
atlas; diffusion; fetal MRI; microstructure; segmentation; CEREBRAL WHITE-MATTER; LAMINAR ORGANIZATION; ANISOTROPY; MRI; COEFFICIENT; SUBPLATE; NEWBORNS; CORTEX; ZONE;
D O I
10.1002/hbm.26160
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
This work presents detailed anatomic labels for a spatiotemporal atlas of fetal brain Diffusion Tensor Imaging (DTI) between 23 and 30 weeks of post-conceptional age. Additionally, we examined developmental trajectories in fractional anisotropy (FA) and mean diffusivity (MD) across gestational ages (GA). We performed manual segmentations on a fetal brain DTI atlas. We labeled 14 regions of interest (ROIs): cortical plate (CP), subplate (SP), Intermediate zone-subventricular zone-ventricular zone (IZ/SVZ/VZ), Ganglionic Eminence (GE), anterior and posterior limbs of the internal capsule (ALIC, PLIC), genu (GCC), body (BCC), and splenium (SCC) of the corpus callosum (CC), hippocampus, lentiform Nucleus, thalamus, brainstem, and cerebellum. A series of linear regressions were used to assess GA as a predictor of FA and MD for each ROI. The combination of MD and FA allowed the identification of all ROIs. Increasing GA was significantly associated with decreasing FA in the CP, SP, IZ/SVZ/IZ, GE, ALIC, hippocampus, and BCC (p < .03, for all), and with increasing FA in the PLIC and SCC (p < .002, for both). Increasing GA was significantly associated with increasing MD in the CP, SP, IZ/SVZ/IZ, GE, ALIC, and CC (p < .03, for all). We developed a set of expert-annotated labels for a DTI spatiotemporal atlas of the fetal brain and presented a pilot analysis of developmental changes in cerebral microstructure between 23 and 30 weeks of GA.
引用
收藏
页码:1593 / 1602
页数:10
相关论文
共 42 条
  • [21] The relation between cognitive dysfunction and diffusion tensor imaging parameters in traumatic brain injury
    Hanks, Robin
    Millis, Scott
    Scott, Selena
    Gattu, Ramtilak
    O'Hara, Nolan B.
    Haacke, Mark
    Kou, Zhifeng
    BRAIN INJURY, 2019, 33 (03) : 355 - 363
  • [22] Brain Tissue Classification Based on Diffusion Tensor Imaging: A Comparative Study Between Some Clustering Algorithms and Their Effect on Different Diffusion Tensor Imaging Scalar Indices
    Elaff, Ihab
    IRANIAN JOURNAL OF RADIOLOGY, 2016, 13 (02)
  • [23] Early general movements and brain magnetic resonance imaging at term-equivalent age in infants born <30 weeks' gestation
    Olsen, Joy E.
    Brown, Nisha C.
    Eeles, Abbey L.
    Einspieler, Christa
    Lee, Katherine J.
    Thompson, Deanne K.
    Anderson, Peter J.
    Cheong, Jeanie L. Y.
    Doyle, Lex W.
    Spittle, Alicia J.
    EARLY HUMAN DEVELOPMENT, 2016, 101 : 63 - 68
  • [24] Brain white matter abnormalities and correlation with severity in amyotrophic lateral sclerosis: An atlas-based diffusion tensor imaging study
    Du, Xiao-Qiang
    Zou, Tian-Xiu
    Huang, Nao-Xin
    Zou, Zhang-Yu
    Xue, Yun-Jing
    Chen, Hua-Jun
    JOURNAL OF THE NEUROLOGICAL SCIENCES, 2019, 405
  • [25] Fetal brain development at 25-39 weeks gestational age: A preliminary study using intravoxel incoherent motion diffusion-weighted imaging
    Yuan, Xiao
    Yue, Cui
    Yu, Mei
    Chen, Ping
    Du, Pang
    Shao, Chang-Hua
    Cheng, Si-Chao
    Bian, Ren-Jie
    Wang, Shao-Yu
    Wang, Wen
    Cui, Guang-Bin
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2019, 50 (03) : 899 - 909
  • [26] Diffusion Tensor Imaging (DTI) of the Brain in Moving Subjects: Application to In-Utero Fetal and Ex-Utero Studies
    Jiang, Shuzhou
    Xue, Hui
    Counsell, Serena
    Anjari, Mustafa
    Allsop, Joanna
    Rutherford, Mary
    Rueckert, Daniel
    Hajnal, Joseph V.
    MAGNETIC RESONANCE IN MEDICINE, 2009, 62 (03) : 645 - 655
  • [27] Direct quantitative comparison between cross-relaxation imaging and diffusion tensor imaging of the human brain at 3.0 T
    Underhil, Hunter R.
    Yuan, Chun
    Yarnykh, Vasily L.
    NEUROIMAGE, 2009, 47 (04) : 1568 - 1578
  • [28] Combined machine learning and diffusion tensor imaging reveals altered anatomic fiber connectivity of the brain in primary open-angle glaucoma
    Qu, Xiaoxia
    Wang, Qian
    Chen, Weiwei
    Li, Ting
    Guo, Jian
    Wang, Huaizhou
    Zhang, Xun
    Wang, Ying
    Wang, Ningli
    Xian, Junfang
    BRAIN RESEARCH, 2019, 1718 : 83 - 90
  • [29] Investigating the relationship between diffusion kurtosis tensor imaging (DKTI) and histology within the normal human brain
    Maiter, Ahmed
    Riemer, Frank
    Allinson, Kieren
    Zaccagna, Fulvio
    Crispin-Ortuzar, Mireia
    Gehrung, Marcel
    McLean, Mary A.
    Priest, Andrew N.
    Grist, James
    Matys, Tomasz
    Graves, Martin J.
    Gallagher, Ferdia A.
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [30] Through Diffusion Tensor Magnetic Resonance Imaging to Evaluate the Original Properties of Neural Pathways of Patients with Partial Seizures and Secondary Generalization by Individual Anatomic Reference Atlas
    Peng, Syu-Jyun
    Harnod, Tomor
    Tsai, Jang-Zern
    Huang, Chien-Chun
    Ker, Ming-Dou
    Chiou, Jun-Chern
    Chiueh, Herming
    Wu, Chung-Yu
    Hsin, Yue-Loong
    BIOMED RESEARCH INTERNATIONAL, 2014, 2014