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    张腾

    • 讲师(高校) 硕士生导师
    • 性别:男
    • 所在单位:人工智能学院(未来技术学院、人工智能产业学院)
    • 办公地点:临江楼A1909
    • 联系方式:zhangteng@nuist.edu.cn

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    Quantification of brown and white adipose tissue based on Gaussian mixture model using water–fat and T2* MRI in adolescents

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    影响因子:3.7

    DOI码:10.1002/jmri.25632

    发表刊物:Journal of Magnetic Resonance Imaging

    摘要:Purpose: To develop a technique for the separation and quantification of brown adipose tissue (BAT) and white adipose tissue (WAT) using fat fraction and T2* intensity based on the Gaussian mixture model (GMM).
    Materials and Methods: Chemical-shift water–fat and T2* images were acquired at the neck, supraclavicular, interscapular, and paravertebral regions in 24 volunteers (Obese: n512, female/male56/6, body mass index [BMI]531.36 2.3 kg/m2, age516.160.6; Normal weight: n512, female/male56/6, BMI521.262.4 kg/m2, age512.962.4) using a 3T scanner with the chemical-shift water–fat mDixon sequence. BAT and WAT were clustered based on the Gaussian mixture model using the expectation–maximization algorithm. Results and reproducibility were compared and assessed using independent t-tests and intraclass correlation coefficient.
    Results: BAT in obese participants was predominately found at the supraclavicular region and in normal-weight participants it was more scattered and distributed in interscapular–supraclavicular, axillary, and spine regions. Absolute volume of BAT was higher in the obese group (Obese: 315.2mL [689.1], Normal weight: 248.5mL [686.4]), but BAT/WAT ratios were significantly higher (P50.029) in the normal group. T2* of BAT (P50.04) and volume of WAT (P < 0.001) were significantly lower in the normals. Within-group comparison between male and female indicated no significant differences were found in volume (P50.776 (normal), 0.501 [obese]), T2* (P50.908 [normal], 0.249 [obese]) and fat-fraction of BAT (P50.985 [normal], 0.108 [obese]). The intraclass correlation coefficient showed a good reproducibility in volume (BAT: 0.997, WAT: 0.948), T2* (BAT: 0.969, WAT: 0.983), and fat-fraction (BAT: 0.952, WAT: 0.517).
    Conclusion: BAT identified by this method was in agreement with other studies in terms of location, fat-fraction value, and T2* intensity. The proposed GMM-based segmentation could be a useful nonradiation imaging method for assessment of adipose tissue, in particular for serial follow-up of volume changes after drug or lifestyle interventions for obesity.

    论文类型:期刊论文

    学科门类:医学

    文献类型:J

    卷号:46

    期号:3

    页面范围:758-768

    是否译文:

    发表时间:2017-01-16

    收录刊物:SCI

    发布刊物链接:https://onlinelibrary.wiley.com/doi/10.1002/jmri.25632