Measurement of Nuchal Translucency Thickness in First Trimester Ultrasound Foetal Images Using Markov Random Field
- 1*,
- 2
- 1Department of Electronics Engineering, Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, Maharashtra, INDIA.
- 2Department of Electronics & Telecommunication, Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, Maharashtra, India.
Published in Journal of Pharmacology and Pharmacotherapeutics
Correspondence: Kalyani Chaudhari
Department of Electronics Engineering, Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, Maharashtra, INDIA.
Email: kalyanichaudhari1979@gmail.com
Copyright: © 2024 The Author(s). This is an open access article.
Published: Jan 1, 2024, Received: Jan 17, 2024, Accepted: Jan 24, 2024
Abstract
Background: The first-trimester ultrasound assessment of nuchal translucency (NT) thickness has lately been recommended as the most helpful sign in early screening for prenatal chromosomal disorders. Increased foetal NT thickness between 11 and 13+6 weeks of gestation is a frequent phenotypic manifestation of chromosomal abnormalities as well as a variety of foetal deformities and genetic disorders. Purpose: At the moment, clinicians conduct the measurement manually. The measurement may take a long time to complete, requires highly competent operators, and is susceptible to mistakes. So, an automatic method is required for NT measurement. Materials and Methods: This study proposes a Markov random Field-based approach for contextually segmenting the NT area from foetal pictures and offering a quick and inexpensive diagnostic even during the early stages of pregnancy. Results: Proposed method gives maximum NT thickness error 0.03 and minimum NT thickness error 0.04. Conclusion: The proposed research work developed a prototype for an automated NT thickness measuring system. This study proposes an MRF-based model for segmentation and detection of NT area from foetal pictures which gives error is less than other methods.
Keywords
Subject
Readers Also Viewed
Pharmacogenomics Meets Generative AI: Transforming Clinical Trial Design with Large Language Models
Annisa Fatharani, Ali Alsayegh
Jan 1, 2026
Clinical Outcomes and Management of Post-varicocelectomy on Male Fertility: A Comprehensive Review
Mohammad Akbar Hossain
Jan 1, 2026
Knowledge, Attitude, and Practice on Digital Eye Strain Among Healthcare Students at a Private University in Northern Peninsular Malaysia
Lim Chin Hung, Subramani Parasuraman, Sam Aaseer Thamby
Jan 1, 2026