Literature DB >> 23135358

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

Hui-Hsin Hu1, Hui-Yun Chen, Chih-I Hung, Wan-Yuo Guo, Yu-Te Wu.   

Abstract

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.

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Year:  2012        PMID: 23135358     DOI: 10.1007/s00429-012-0469-3

Source DB:  PubMed          Journal:  Brain Struct Funct        ISSN: 1863-2653            Impact factor:   3.270


  9 in total

1.  Feasibility of differential geometry-based features in detection of anatomical feature points on patient surfaces in range image-guided radiation therapy.

Authors:  Mazen Soufi; Hidetaka Arimura; Katsumasa Nakamura; Fauzia P Lestari; Freddy Haryanto; Taka-Aki Hirose; Yoshiyuki Umedu; Yoshiyuki Shioyama; Fukai Toyofuku
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-06-13       Impact factor: 2.924

2.  Quantitative Folding Pattern Analysis of Early Primary Sulci in Human Fetuses with Brain Abnormalities.

Authors:  K Im; A Guimaraes; Y Kim; E Cottrill; B Gagoski; C Rollins; C Ortinau; E Yang; P E Grant
Journal:  AJNR Am J Neuroradiol       Date:  2017-05-18       Impact factor: 3.825

Review 3.  Sulcal pits and patterns in developing human brains.

Authors:  Kiho Im; P Ellen Grant
Journal:  Neuroimage       Date:  2018-03-27       Impact factor: 6.556

4.  Sonographic Features of Abscess Maturation in a Porcine Model.

Authors:  Daniel F Leotta; Matthew Bruce; Yak-Nam Wang; John Kucewicz; Tatiana Khokhlova; Keith Chan; Wayne Monsky; Thomas J Matula
Journal:  Ultrasound Med Biol       Date:  2021-04-24       Impact factor: 3.694

5.  Change in the cortical complexity of spinocerebellar ataxia type 3 appears earlier than clinical symptoms.

Authors:  Tzu-Yun Wang; Chii-Wen Jao; Bing-Wen Soong; Hsiu-Mei Wu; Kuo-Kai Shyu; Po-Shan Wang; Yu-Te Wu
Journal:  PLoS One       Date:  2015-04-21       Impact factor: 3.240

6.  Optimal Method for Fetal Brain Age Prediction Using Multiplanar Slices From Structural Magnetic Resonance Imaging.

Authors:  Jinwoo Hong; Hyuk Jin Yun; Gilsoon Park; Seonggyu Kim; Yangming Ou; Lana Vasung; Caitlin K Rollins; Cynthia M Ortinau; Emiko Takeoka; Shizuko Akiyama; Tomo Tarui; Judy A Estroff; Patricia Ellen Grant; Jong-Min Lee; Kiho Im
Journal:  Front Neurosci       Date:  2021-10-11       Impact factor: 4.677

7.  Cortical thickness systematically varies with curvature and depth in healthy human brains.

Authors:  Nagehan Demirci; Maria A Holland
Journal:  Hum Brain Mapp       Date:  2022-01-31       Impact factor: 5.038

8.  Cortical shape and curvedness analysis of structural deficits in remitting and non-remitting depression.

Authors:  Yuan-Lin Liao; Po-Shan Wang; Chia-Feng Lu; Chih-I Hung; Cheng-Ta Li; Ching-Po Lin; Jen-Chuen Hsieh; Tung-Ping Su; Yu-Te Wu
Journal:  PLoS One       Date:  2013-07-16       Impact factor: 3.240

9.  Genetic Predisposition and Disease Expression of Bipolar Disorder Reflected in Shape Changes of the Anterior Limbic Network.

Authors:  Chia-Feng Lu; Yu-Te Wu; Shin Teng; Po-Shan Wang; Pei-Chi Tu; Tung-Ping Su; Chi-Wen Jao; Cheng-Ta Li
Journal:  Brain Sci       Date:  2019-09-19
  9 in total

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