Using three-dimensional fractal dimension to analyze the complexity of fetal cortical surface from magnetic resonance images

被引:29
|
作者
Wu, Yu-Te [2 ,3 ,4 ]
Shyu, Kuo-Kai [1 ]
Chen, Tzong-Rong [1 ,5 ]
Guo, Wan-Yuo [6 ]
机构
[1] Natl Cent Univ, Dept Elect Engn, Chungli, Taiwan
[2] Taipei Vet Gen Hosp, Dept Med Res & Educ, Integrated Brain Res Lab, Taipei, Taiwan
[3] Natl Yang Ming Univ, Inst Brain Sci, Taipei 112, Taiwan
[4] Natl Yang Ming Univ, Dept Biomed Imaging & Radiol Sci, Taipei 112, Taiwan
[5] Ching Yun Univ, Dept Elect Engn, Chungli, Taiwan
[6] Taipei Vet Gen Hosp, Dept Radiol, Taipei, Taiwan
关键词
Fetal cortical surface; Fractal dimension; Box-counting method; HUMAN-BRAIN; WHITE-MATTER; CEREBRAL-CORTEX; ASYMMETRY; PATTERNS;
D O I
10.1007/s11071-009-9515-y
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This study aims to investigate the complexity of the developing fetal cortical surface based on the notion of fractal dimension (FD). Forty-four fetal MR images were selected at 22-36 weeks of gestational age (GA) and distributed between two groups: 32 normal fetal brains (excluding twins) and 12 abnormal fetal brains, including twins, mild ventricular dilatation, Cornelia de Lange syndrome (small brain), and cortical dysplasia (developmental delay). We adopted the commonly used box-counting (BC) method to estimate the FD of the developing fetal cortical surface. Results from normal fetal brains show that the increase of cortical complexity is highly correlated with fetal developing weeks of GA. In addition, after 28 weeks of GA, the value of FD increases more rapidly because of the faster development of convolved folds. In comparison with results from the normal fetal group, the abnormal fetal brains were examined and the results show that: (1) mild ventricular dilatation has no significant developing difference compared with normal fetal brains; (2) twins had lower FD than that of normal fetal brains, which may be a delay of 2-3 weeks; (3) the case of cortical dysplasia also had low FD, indicating that developing delay may mean less cortical complexity. The results of the normal group are in good agreement with fetal brain development and demonstrate the effectiveness of FD as a promising means for the quantification of complexity of the fetal cortical surface.
引用
收藏
页码:745 / 752
页数:8
相关论文
共 50 条
  • [1] Using three-dimensional fractal dimension to analyze the complexity of fetal cortical surface from magnetic resonance images
    Yu-Te Wu
    Kuo-Kai Shyu
    Tzong-Rong Chen
    Wan-Yuo Guo
    [J]. Nonlinear Dynamics, 2009, 58 : 745 - 752
  • [2] Using 3D FFT fractal dimension estimator to analyze the complexity of fetal cortical surface from MR images
    Wu, Yu-Te
    Shyu, Kuo-Kai
    Chen, Tzong-Rong
    Chen, Hui-Yun
    Hu, Hui-Hsin
    Guo, Wan-Yuo
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (08) : 6123 - 6127
  • [3] Three-dimensional fractal analysis of the white matter surface from magnetic resonance images of the human brain
    Free, SL
    Sisodiya, SM
    Cook, MJ
    Fish, DR
    Shorvon, SD
    [J]. CEREBRAL CORTEX, 1996, 6 (06) : 830 - 836
  • [4] Three-dimensional reconstruction of the auditory cortical areas from magnetic resonance images
    Steinstrater, O
    Lutkenhoner, B
    [J]. AUDIOLOGY AND NEURO-OTOLOGY, 1998, 3 (04) : 265 - 278
  • [5] Fractal capacity dimension of three-dimensional histogram from color images
    Chauveau, Julien
    Rousseau, David
    Chapeau-Blondeau, Francois
    [J]. MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 2010, 21 (02) : 197 - 211
  • [6] Fractal capacity dimension of three-dimensional histogram from color images
    Julien Chauveau
    David Rousseau
    François Chapeau-Blondeau
    [J]. Multidimensional Systems and Signal Processing, 2010, 21 : 197 - 211
  • [7] Analysis of fetal cortical complexity from MR images using 3D entropy based information fractal dimension
    Shyu, Kuo-Kai
    Wu, Yu-Te
    Chen, Tzong-Rong
    Chen, Hui-Yun
    Hu, Hui-Hsin
    Guo, Wan-Yuo
    [J]. NONLINEAR DYNAMICS, 2010, 61 (03) : 363 - 372
  • [8] Analysis of fetal cortical complexity from MR images using 3D entropy based information fractal dimension
    Kuo-Kai Shyu
    Yu-Te Wu
    Tzong-Rong Chen
    Hui-Yun Chen
    Hui-Hsin Hu
    Wan-Yuo Guo
    [J]. Nonlinear Dynamics, 2010, 61 : 363 - 372
  • [9] Fractal dimension based carotid plaque characterization from three-dimensional ultrasound images
    Zhou, Ran
    Luo, Yongkang
    Fenster, Aaron
    Spence, John David
    Ding, Mingyue
    [J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2019, 57 (01) : 135 - 146
  • [10] Fractal dimension based carotid plaque characterization from three-dimensional ultrasound images
    Ran Zhou
    Yongkang Luo
    Aaron Fenster
    John David Spence
    Mingyue Ding
    [J]. Medical & Biological Engineering & Computing, 2019, 57 : 135 - 146