An Accurate Segmentation Framework for Static Ultrasound Images of the Gestational Sac

Author(s):  
Chenghuan Yin ◽  
Yu Wang ◽  
Qixin Zhang ◽  
Fangfang Han ◽  
Zhengwei Yuan ◽  
...  
2016 ◽  
Author(s):  
Dheyaa Ahmed Ibrahim ◽  
Hisham Al-Assam ◽  
Hongbo Du ◽  
Jessica Farren ◽  
Dhurgham Al-karawi ◽  
...  

2017 ◽  
Vol 44 (10) ◽  
pp. 5128-5142 ◽  
Author(s):  
Ling Ma ◽  
Rongrong Guo ◽  
Zhiqiang Tian ◽  
Baowei Fei

Author(s):  
Juli Melia ◽  
Fauziah Fauziah ◽  
Hamdan Hamdan ◽  
Budianto Panjaitan ◽  
Syafruddin Syafruddin ◽  
...  

This study aimed to estimate the gestational age of Etawa crossbred goats based on ultrasound images of embryo and fetal usingtranscutaneous ultrasonography. Etawa crossbred does (n= 5) were synchronized using double PGF2α injection with 10 days interval and matednaturally. Early pregnancy was diagnosed on 20th day after mating base on isoechogenic image of the embryo (2.65±0.75 mm) andhypoechogenic appearance of gestational sac. On 30th day of the first trimester, the embryo size was 8.31±0.42 mm. The embryo reached10.44±0.51 mm on 35th day. On 60th day, the existence of the fetal were clearly appeared along with isoechogenic of umbilical cord,hyperechogenic os cranium (25.5±0.1 mm), and body length (51.83±1.59 mm). On 75th day, the diameter of the os cranium was 33.03±0.20 mm,body length of 110±1.73 mm, and bones structures appeared hyperechogenic for os thoracalis and os vertebrae. The placenta was isoechogenoicwith diameter of 23.3±0.2 mm. On 90th day, the placenta dominated the uterus (22.67±1.70 mm) and reached its maximum diameter on 145th day(33.73±2.91 mm). In conclusion, early pregnancy detection of Etawa crossbred goats using transcutaneous ultrasonography could be performedon 20th day after mating


2012 ◽  
Vol 58 (4) ◽  
pp. 425-431 ◽  
Author(s):  
D. Selvathi ◽  
N. Emimal ◽  
Henry Selvaraj

Abstract The medical imaging field has grown significantly in recent years and demands high accuracy since it deals with human life. The idea is to reduce human error as much as possible by assisting physicians and radiologists with some automatic techniques. The use of artificial intelligent techniques has shown great potential in this field. Hence, in this paper the neuro fuzzy classifier is applied for the automated characterization of atheromatous plaque to identify the fibrotic, lipidic and calcified tissues in Intravascular Ultrasound images (IVUS) which is designed using sixteen inputs, corresponds to sixteen pixels of instantaneous scanning matrix, one output that tells whether the pixel under consideration is Fibrotic, Lipidic, Calcified or Normal pixel. The classification performance was evaluated in terms of sensitivity, specificity and accuracy and the results confirmed that the proposed system has potential in detecting the respective plaque with the average accuracy of 98.9%.


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