Cited by 31Medical Image Segmentation TechniquesPrenatal Screening and DiagnosticsMedical Imaging and Analysis

A hierarchical model for automatic nuchal translucency detection from ultrasound images

Deng, Yinhui, Wang, Yuanyuan, Chen, Ping, Yu, Jinhua·2012·Computers in Biology and Medicine

Abstract

The nuchal translucency (NT) thickness is an important parameter in the diagnosis of fetuses. The previous computerized methods often require manual operations to select the NT region, which leads to the time-consuming problem and the detection variability. In the paper, a hierarchical model is proposed for the automated detection of the NT region. Three discriminative classifiers are first trained with Gaussian pyramids to represent the NT, head and body of fetuses respectively. Then a spatial model is proposed to denote the spatial constrains among them. Finally the dynamic programming and generalized distance transform are applied for the inference from the proposed model, which ensures that the optimal solution can be obtained for the NT detection. The direction problem of fetuses is resolved by the introduced "OR" node. The performance of the proposed model is verified by the experimental results of 690 clinical NT ultrasound images.

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Crossref · 10.1016/j.compbiomed.2012.04.002

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References 18 · Cited by 31

Authors
Deng, Y., Wang, Y., Chen, P., & Yu, J.
Affiliations
  • Fudan University (CN)
  • Shanghai First Maternity and Infant Hospital (CN)
Corresponding author
Wang, Yuanyuan
Venue
Computers in Biology and Medicine
Publisher
Elsevier BV
Published
2012-06
Volume
42
Issue
6
Pages
706-713
ISSN
0010-4825 (ISSN-L)
OpenAlex
W2057856770
Cited by
31
References
18
Citations by year
2026: 2 · 2025: 3 · 2024: 5 · 2023: 4 · 2022: 2 · 2021: 5 · 2018: 1 · 2017: 3 · 2016: 3 · 2015: 2 · 2013: 1
FWCI
0.99
Type
journal article
Language
en
Open access
closed
Locations
  • Computers in Biology and Medicine (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Prenatal Screening and Diagnostics
  • Physical Sciences › Engineering › Biomedical Engineering › Medical Imaging and Analysis
Keywords
nuchal translucency, prenatal ultrasound, hierarchical probabilistic model, Gaussian pyramid, spatial constraints, dynamic programming, prenatal diagnosis
MeSH terms
Female, Humans, Image Processing, Computer-Assisted, Models, Theoretical, Pregnancy, Nuchal Translucency Measurement, Support Vector Machine

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