Shape and curvedness analysis of brain morphology using human fetal magnetic resonance images in utero

被引:0
|
作者
Hui-Hsin Hu
Hui-Yun Chen
Chih-I Hung
Wan-Yuo Guo
Yu-Te Wu
机构
[1] National Yang-Ming University,Department of Biomedical Imaging and of Radiological Sciences
[2] Taipei Veterans General Hospital,Department of Radiology
[3] School of Medicine,Faculty of Medicine
[4] National Yang-Ming University,Brain Research Center
[5] National Yang-Ming University,undefined
来源
关键词
Shape; Curvedness; Fetus; MR; Volume; Area; Brain;
D O I
暂无
中图分类号
学科分类号
摘要
The 3-D morphological change has gained increasing significance in recent investigations on human fetal brains. This study uses a pair of new indices, the shape index (SI) and curvedness index (CVD), to quantify 3-D morphological changes in developing brains from 22 to 33 weeks of gestation. The SI was used to automatically locate the gyral nodes and sulcal pits, and the CVD was used to measure the degree of deviation of cortical shapes from a flat plane. The CVD values of classified regions were compared with two traditional biomarkers: cerebral volume and cortical surface area. Because the fetal brains dramatically deform with age, the age effect was controlled during the comparison between morphological changes and volume and surface area. The results show that cerebral volume, the cortical surface area, and the CVD values of gyral nodes and sulcal pits increased with gestational age. However, with age controlled, the CVD values of gyral nodes and sulcal pits did not correlate with cerebral volume, but the CVD of gyral nodes increased slightly with the cortical surface area. These findings suggest that the SI, in conjunction with the CVD, provides developmental information distinct from the brain volumetry. This approach provides additional insight into 3-D cortical morphology in the assessment of fetal brain development.
引用
收藏
页码:1451 / 1462
页数:11
相关论文
共 50 条
  • [41] In Utero Detection of Retinoblastoma with Fetal Magnetic Resonance and Ultrasound: Initial Experience
    Paquette, Lisa B.
    Miller, David
    Jackson, Hollie A.
    Lee, Thomas
    Randolph, Linda
    Murphree, A. Lynn
    Panigrahy, Ashok
    AJP REPORTS, 2012, 2 (01): : 55 - 61
  • [42] MAGNETIC-RESONANCE IMAGING OF FETAL ANOMALIES IN UTERO - EARLY EXPERIENCE
    MCCARTHY, SM
    FILLY, RA
    STARK, DD
    CALLEN, PW
    GOLBUS, MS
    HRICAK, H
    AMERICAN JOURNAL OF ROENTGENOLOGY, 1985, 145 (04) : 677 - 682
  • [43] In utero fetal cerebral intraparenchymal ischemia diagnosed by nuclear magnetic resonance
    Sibony, O
    Stempfle, N
    Luton, D
    Oury, JF
    Blot, PH
    DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY, 1998, 40 (02): : 122 - 123
  • [44] ANOMALOUS BRAIN MORPHOLOGY ON MAGNETIC-RESONANCE IMAGES IN WILLIAMS SYNDROME AND DOWN SYNDROME
    JERNIGAN, TL
    BELLUGI, U
    ARCHIVES OF NEUROLOGY, 1990, 47 (05) : 529 - 533
  • [45] In Utero Diagnosis of PHACE Syndrome by Fetal Magnetic Resonance Imaging (MRI)
    Martin Fernandez-Mayoralas, Daniel
    Recio-Rodriguez, Manuel
    Laura Fernandez-Perrone, Ana
    Jimenez-de-la-Pena, Mar
    Munoz-Jareno, Nuria
    Fernandez-Jaen, Alberto
    JOURNAL OF CHILD NEUROLOGY, 2014, 29 (01) : 118 - 121
  • [46] In utero eye development documented by fetal magnetic resonance imaging.
    Paquette, L.
    Panigrahy, A.
    JOURNAL OF INVESTIGATIVE MEDICINE, 2007, 55 (01) : S149 - S149
  • [47] Morphological regionalization using fetal magnetic resonance images of normal developing brains
    Hu, Hui-Hsin
    Guo, Wan-Yuo
    Chen, Hui-Yun
    Wang, Po-Shan
    Hung, Chih-I
    Hsieh, Jen-Chuen
    Wu, Yu-Te
    EUROPEAN JOURNAL OF NEUROSCIENCE, 2009, 29 (08) : 1560 - 1567
  • [48] Normalization of brain magnetic resonance images using histogram even-order derivative analysis
    Christensen, JD
    MAGNETIC RESONANCE IMAGING, 2003, 21 (07) : 817 - 820
  • [49] Quantitative MRI measurements of human fetal brain development in utero
    Grossman, Rachel
    Hoffman, Chen
    Mardor, Yael
    Biegon, Anat
    NEUROIMAGE, 2006, 33 (02) : 463 - 470
  • [50] Fetal brain extraction from magnetic resonance image (MRI) of human fetus
    Somasundaram, K.
    Gayathri, S. P.
    Rajeswaran, R.
    Manjiri, Dighe
    IMAGING SCIENCE JOURNAL, 2018, 66 (03): : 133 - 138