Automatic Detection of Standard Sagittal Plane in the First Trimester of Pregnancy Using 3-D Ultrasound Data
Abstract
Fetal nuchal translucency (NT) thickness is one of the most important parameters in prenatal screening. Locating the mid-sagittal plane is one of the key points to measure NT. In this paper, an automatic method for the sagittal plane detection using 3-D ultrasound data is proposed. To avoid unnecessary massive searching and the corresponding huge computation load, a model is proposed to turn the sagittal plane detection problem into a symmetry plane and axis searching problem. The deep belief network (DBN) and a modified circle detection method provide prior knowledge for the searching. The experiments show that in most cases, the result plane has small distance error and angle error at the same time-88.6% of the result planes have a distance error less than 4 mm and 71.0% have angle error less than 20°.
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Three studies focused on detection of the midsagittal plane of the fetus, with one study focusing on 2D ultrasound and two studies on 3D ultrasound.
“Three studies focused on the detection of the midsagittal plane of the fetus, with one study focusing on 2D ultrasound 19 and two studies on 3D ultrasound.20,21”
From Artificial intelligence in obstetric ultrasound: A scoping review. (2023) · cites this paper as [21]
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Method
- Authors
- Nie, S., Yu, J., Chen, P., Wang, Y., & Zhang, J. Q.
- Affiliations
- Fudan University (CN)
- Tongji University (CN)
- Corresponding author
- Yu, Jinhua
- Venue
- Ultrasound in Medicine & Biology
- Publisher
- Elsevier BV
- Published
- 2017-01
- Volume
- 43
- Issue
- 1
- Pages
- 286-300
- ISSN
- 0301-5629 (ISSN-L)
- OpenAlex
- W2547722133
- Cited by
- 42
- References
- 30
- Citations by year
- 2026: 8 · 2025: 5 · 2024: 8 · 2023: 3 · 2022: 4 · 2021: 5 · 2020: 3 · 2019: 3 · 2018: 1 · 2017: 2
- FWCI
- 1.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ultrasound in Medicine & Biology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (61471125, 61271071)
- 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, first trimester, 3D ultrasound, deep belief network, circle detection, prenatal screening
- MeSH terms
- Female, Humans, Image Interpretation, Computer-Assisted, Pregnancy, Pregnancy Trimester, First, Imaging, Three-Dimensional, Nuchal Translucency Measurement
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