Ultrasound Image Formation from Doppler Transducer

Hermawati, Fajar Astuti; Sugiono,; Evonda,

doi:10.1007/978-3-319-56062-5_45

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…Ultrasonography is a noninvasive imaging modality that is used for routine prenatal care and for providing essential information that enables doctors or midwives to ensure foetal development and a possible diagnosis of the problem. Emerging advances have introduced portable ultrasound devices that are small and inexpensive [1][2][3][4]. Mobile ultrasound devices are a helpful modality, especially in developing countries.…”

Section: Introductionmentioning

confidence: 99%

Fully Automatic Segmentation Framework for FL Biometric Measurement in Foetal Ultrasound Images

Hermawati,

Ronando,

Sulistyawati

et al. 2023

Preprint

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Femur length (FL) is a biometric measurement of ultrasound images used to identify the growth patterns and abnormalities of the foetus. Automatic segmentation of FL can improve the efficiency and convenience of inexperienced users. The femur region in a low-cost ultrasound image is a small area with low contrast intensity compared with the non-femur region. This study proposed a fully automated framework for segmenting and measuring the FL in a portable ultrasound image. We utilized statistical modeling, employing Gaussian mixture functions for thresholding to extract the femur area from the background. We also used the localizing region-based active contour method to segment the femur region accurately. We also proposed a refinement step in this framework to obtain a more accurate femur area in the ultrasound image. Because the length and position of the femur are the main factors affecting foetal biometric measurement accuracy, we not only evaluated segmentation results using region-based methods, such as sensitivity, specificity, and dice similarity. We also applied the FL measurement approach to evaluate the angle and length accuracy relative to the ground truth. In terms of region-based segmentation performance, the proposed method provided the best average performance with a sensitivity of 0.78, specificity of 0.87, and dice similarity of 0.81. For FL measurement performance, the proposed framework achieved an average angle accuracy of 0.99, distance accuracy of 0.88, and length accuracy of 0.93.

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Section: Introductionmentioning

confidence: 99%

Fully Automatic Segmentation Framework for FL Biometric Measurement in Foetal Ultrasound Images

Hermawati,

Ronando,

Sulistyawati

et al. 2023

Preprint

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Digital Microscopy Image Enhancement Technique for Microstructure Image Analysis of Bottom Ash Particle Polymer Composites

Hermawati

Kastiawan

Muhyin

2020

Springer Proceedings in Materials

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Automatic femur length measurement for fetal ultrasound image using localizing region-based active contour method

Hermawati

Tjandrasa

Sugiono

et al. 2019

J. Phys.: Conf. Ser.

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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.

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Ultrasound Image Formation from Doppler Transducer

Cited by 3 publications

References 3 publications

Fully Automatic Segmentation Framework for FL Biometric Measurement in Foetal Ultrasound Images

Fully Automatic Segmentation Framework for FL Biometric Measurement in Foetal Ultrasound Images

Digital Microscopy Image Enhancement Technique for Microstructure Image Analysis of Bottom Ash Particle Polymer Composites

Automatic femur length measurement for fetal ultrasound image using localizing region-based active contour method

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