Open AccessAutomatic femur length measurement for fetal ultrasound image using localizing region-based active contour method
Author(s) -
Fajar Astuti Hermawati,
Handayani Tjandrasa,
Sugiono,
GI Permata Sari,
Anifuddin Azis
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1230/1/012002
Subject(s) - speckle noise , artificial intelligence , smoothing , computer vision , noise reduction , ultrasound , noise (video) , segmentation , femur , active contour model , computer science , process (computing) , pixel , image segmentation , speckle pattern , image (mathematics) , medicine , radiology , surgery , operating system
This research aims to apply the localizing region-based active contour (LRAC) method to acquire the femur length in an ultrasound image automatically and to determine the effect of noise removal on the segmentation accuracy. The automatic femur length measurement system includes three main steps. The first step is the denoising process to reduce speckle noise in the ultrasound image. Afterwards, the LRAC method is applied to detect and segment a local region. The segmentation process with a certain number of iterations and a weight of the smoothing terms is started at the selected initial pixel. At the final step, the femur length is measured to estimate the gestational age. The experiment results show that the accuracy of the estimated gestational age increases significantly when the noise reduction technique is employed.