Arooj, Adeela and Supriyanto, Eko and Khin Wee, Lai and Yuen Min, Too (2010) Nuchal translucency marker detection based on artificial neural network and measurement via bidirectional iteration forward propagation. WSEAS Transactions on Information Science and Applications, 7 (8). 1025 - 1036. ISSN 1025-1036
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Ultrasound screening is performed during early pregnancy for assessment of fetal viability and prenatal diagnosis of fetal chromosomal anomalies including measurement of nuchal translucency (NT) thickness. The drawback of current NT measurement technique is restricted with inter and intra-observer variability and inconsistency of results. Hence, we present an automated detection and measurement method for NT in this study. Artificial neural network was trained to locate the region of interest (ROI) that contains NT. The accuracy of the trained network was achieved at least 93.33 percent which promise an efficient method to recognize NT automatically. Border of NT layer was detected through automatic computerized algorithm to find the optimum thickness of the windowed region. Local measurements of intensity, edge strength and continuity were extracted and became the weighted terms for thickness calculation. Finding showed that this method is able to provide consistent and more objective results.
|Uncontrolled Keywords:||nuchal translucency, ultrasound, fetal, pattern recognition, artificial neural network|
|Divisions:||Biosciences and Medical Engineering|
|Deposited By:||Liza Porijo|
|Deposited On:||29 Jun 2012 01:25|
|Last Modified:||08 Feb 2017 07:42|
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