Intelligent quality assessment of ultrasound images for fetal nuchal translucency measurement during the first trimester of pregnancy based on deep learning models.

Journal: BMC pregnancy and childbirth
Published Date:

Abstract

OBJECTIVE: As increased nuchal translucency (NT) thickness is notably associated with fetal chromosomal abnormalities, structural defects, and genetic syndromes, accurate measurement of NT thickness is crucial for the screening of fetal abnormalities during the first trimester. We aimed to develop a model for quality assessment of ultrasound images for precise measurement of fetal NT thickness.

Authors

  • Lu Liu
    College of Pharmacy, Harbin Medical University, Harbin, China.
  • Ting Wang
    CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
  • Wenjing Zhu
    Medical Research Department, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, P. R. China.
  • Haidong Zhang
  • Hongyan Tian
    Department of Ultrasound Medicine, Medical School, South China Hospital, Shenzhen University, Shenzhen, P. R. China.
  • Yanping Li
    College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.
  • Wenjun Cai
    Department of Ultrasound, Medical School, Shenzhen University General Hospital, Shenzhen University, Shenzhen, P. R. China. 2977673731@qq.com.
  • Peng Yang

Keywords

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