scholarly journals Image Segmentation: Efficacious Processing of Mid – Trimester Fetal Ultrasound Images for Diagnosis of Fetal Aberration Using Global Thresholding Otsu’s Method

2020 ◽  
Vol 9 (5) ◽  
pp. 9046-9055
Keyword(s):  
Image Segmentation ◽  
Ultrasound Images ◽  
Fetal Ultrasound ◽  
Otsu’S Method ◽  
Global Thresholding

Ultrasound Fetal Image Segmentation Techniques: A Review

2018 ◽  
Vol 15 (1) ◽  
pp. 52-60
Author(s):  
S. Jayanthi Sree ◽  
C. Vasanthanayaki
Keyword(s):  
Image Segmentation ◽  
Image Quality ◽  
Gestational Age ◽  
Ultrasound Images ◽  
Fetal Ultrasound ◽  
Segmentation Algorithms ◽  
Biological Structures ◽  
2D Ultrasound

Background: This paper reviews segmentation techniques for 2D ultrasound fetal images. Fetal anatomy measurements derived from the segmentation results are used to monitor the growth of the fetus. </P><P> Discussion: The segmentation of fetal ultrasound images is a difficult task due to inherent artifacts and degradation of image quality with gestational age. There are segmentation techniques for particular biological structures such as head, stomach, and femur. The whole fetal segmentation algorithms are only very few. Conclusion: This paper presents a review of these segmentation techniques and the metrics used to evaluate them are summarized.

scholarly journals Motion blur invariant for estimating motion parameters of medical ultrasound images

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Barmak Honarvar Shakibaei Asli ◽  
Yifan Zhao ◽  
John Ahmet Erkoyuncu
Keyword(s):  
Image Quality Assessment ◽  
Medical Image Analysis ◽  
Main Idea ◽  
Delta Function ◽  
Motion Blur ◽  
Ultrasound Images ◽  
Medical Ultrasound ◽  
Fetal Ultrasound ◽  
Dirac Delta ◽  
Motion Parameters

AbstractHigh-quality medical ultrasound imaging is definitely concerning motion blur, while medical image analysis requires motionless and accurate data acquired by sonographers. The main idea of this paper is to establish some motion blur invariant in both frequency and moment domain to estimate the motion parameters of ultrasound images. We propose a discrete model of point spread function of motion blur convolution based on the Dirac delta function to simplify the analysis of motion invariant in frequency and moment domain. This model paves the way for estimating the motion angle and length in terms of the proposed invariant features. In this research, the performance of the proposed schemes is compared with other state-of-the-art existing methods of image deblurring. The experimental study performs using fetal phantom images and clinical fetal ultrasound images as well as breast scans. Moreover, to validate the accuracy of the proposed experimental framework, we apply two image quality assessment methods as no-reference and full-reference to show the robustness of the proposed algorithms compared to the well-known approaches.

Postnatal ultrasound follow-up in neonates with prenatal hydronephrosis

Diagnosis ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Elham Kebriyaei ◽  
Ali Davoodi ◽  
Seyed Alinaghi Kazemi ◽  
Zahra Bazargani
Keyword(s):  
Ultrasound Imaging ◽  
Maternal Education ◽  
Left Kidney ◽  
Ultrasound Images ◽  
Fetal Ultrasound ◽  
Renal Anomalies ◽  
Cross Sectional ◽  
Fetal Hydronephrosis ◽  
Kidney Involvement

Abstract Objectives Renal anomalies are the most common fetal abnormalities that occur during prenatal development, and are typically detected by observing hydronephrosis on fetal ultrasound imaging. Follow-up with post-natal ultrasound is important to detect clinically-important obstruction, because many of the pre-natal abnormalities resolve spontaneously. This study aimed to evaluate the postnatal hydronephrosis follow-up rate, and reasons for non follow-up in affected neonates. Methods In this cross-sectional study all neonates born during a period of one year at Ayatollah Mousavi Hospital with hydronephrosis on fetal ultrasound imaging were recruited. All mothers were also given face-to-face information about fetal hydronephrosis and its postnatal outcomes, and follow-up with at least a postnatal ultrasound was recommended from the fourth day of their neonates’ birth until the end of the fourth week. The neonates were subsequently observed for one month to determine the postnatal ultrasound follow-up rate and to reflect on diagnostic test results, reasons for failure to follow-up, as well as causes of hydronephrosis. Results In this study, 71 cases (1.2%) out of 5,952 neonates had fetal hydronephrosis on prenatal ultrasound images. The postnatal ultrasound imaging showed kidney involvement in 18 neonates (25%), particularly in the left kidney (61.1%). Seven neonates had no follow-up at one month (10%). No significant relationship was found between lack of follow-up and the neonates’ place of residence (p=0.42), maternal education (p=0.90), number of siblings (p=0.33), or gender (p=0.64). Conclusions Postnatal ultrasound follow-up rate in these neonates with a history of fetal hydronephrosis was incomplete even though parents had been provided with education and advice at their birth time. Accordingly, it is recommended to perform postnatal ultrasound once neonates are discharged from hospitals.

One Extended OTSU Flame Image Recognition Method Using RGBL and Stripe Segmentation

2011 ◽  
Vol 121-126 ◽  
pp. 2141-2145 ◽  
Author(s):  
Wei Gang Yan ◽  
Chang Jian Wang ◽  
Jin Guo
Keyword(s):  
Image Segmentation ◽  
Water Vapor ◽  
Image Recognition ◽  
Recognition Accuracy ◽  
New Method ◽  
Recognition Method ◽  
Otsu’S Method ◽  
Flame Shape ◽  
Image Segmentation Algorithm ◽  
Rgb Image

This paper proposes a new image segmentation algorithm to detect the flame image from video in enclosed compartment. In order to avoid the contamination of soot and water vapor, this method first employs the cubic root of four color channels to transform a RGB image to a pseudo-gray one. Then the latter is divided into many small stripes (child images) and OTSU is employed to perform child image segmentation. Lastly, these processed child images are reconstructed into a whole image. A computer program using OpenCV library is developed and the new method is compared with other commonly used methods such as edge detection and normal Otsu’s method. It is found that the new method has better performance in flame image recognition accuracy and can be used to obtain flame shape from experiment video with much noise.

scholarly journals OP01.09: Automatic classification of fetal ultrasound images: a remarkable application of deep learning technology for fetal medicine

2019 ◽  
Vol 54 (S1) ◽  
pp. 86-87
Author(s):  
X.P. Burgos‐Artizuu ◽  
E. Eixarch ◽  
D. Coronado‐Gutierrez ◽  
B. Valenzuela ◽  
E. Bonet‐Carne ◽  
...  
Keyword(s):  
Deep Learning ◽  
Automatic Classification ◽  
Learning Technology ◽  
Ultrasound Images ◽  
Fetal Ultrasound ◽  
Fetal Medicine

scholarly journals Transmission of real-time fetal ultrasound images using the IP network vs. ISDN lines

2001 ◽  
Vol 18 ◽  
pp. F54-F54
Author(s):  
F.-Y. Chan ◽  
A. Taylor ◽  
B. Soong ◽  
P. Timothy ◽  
A. Lee-Tannock ◽  
...  
Keyword(s):  
Real Time ◽  
Ultrasound Images ◽  
Fetal Ultrasound ◽  
Ip Network

Mineral Belt Image Segmentation Using Firefly Algorithm

2014 ◽  
Vol 989-994 ◽  
pp. 4074-4077
Author(s):  
Li Fang He ◽  
Xiong Tong ◽  
Song Wei Huang
Keyword(s):  
Image Segmentation ◽  
Firefly Algorithm ◽  
Computation Time ◽  
Segmentation Algorithm ◽  
Shaking Table ◽  
Optimal Thresholds ◽  
Mineral Belt ◽  
Otsu’S Method ◽  
Optimum Threshold ◽  
Image Segmentation Algorithm

Otsu is one of better image segmentation algorithm, which obtains optimum threshold by maximizing the between-class variance of an image. However, computation time will sharply increase as the threshold increase. In order to greatly improve the problem, a new segmentation algorithm called firefly algorithm based on Otsu’s method is presented in this paper, and applied the algorithm to segmentation of mineral belt image of shaking table, which lay the foundation for automation of shaking table. Experimental results show that the new algorithm can accurately segment different mineral belts and can obtain the same optimal thresholds and fitness values with Otsu’s method.

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