DocumentCode
1786093
Title
Fast Region of Interest detection for fetal genital organs in B-mode ultrasound images
Author
Bharath, R. ; Rajalakshmi, P.
Author_Institution
Dept. of Electr. Eng., Indian Inst. of Technol., Hyderabad, Hyderabad, India
fYear
2014
fDate
26-28 May 2014
Firstpage
1
Lastpage
5
Abstract
Genital organ detection of fetus in B-mode ultrasound images has a considerable significance. It is useful to know any malformations present in the genital organs and also to determine the sex of the fetus. In this paper we propose a Feature from Accelerated Segment Test (FAST) technique for approximate detection of fetal genitals in ultrasound images. FAST algorithm is capable of producing the corner points at a higher speed which falls on the fetal genital organs. A window of size 60×60 pixels being corner point as a center is considered as Region of Interest (ROI), where genital organ of fetus is anticipated. The efficiency of the algorithm is calculated as the ratio of number of images where corner points are placed on the fetus genital organ to the total number of images tested. FAST algorithm is robust to speckles present in the image, machine independent, fast and also computationally less intensive to implement in real time with an efficiency of 96.7%.
Keywords
biological organs; biomedical ultrasonics; feature extraction; medical image processing; object detection; obstetrics; speckle; B-mode ultrasound images; FAST algorithm; Feature from Accelerated Segment Test technique; ROI; Region of Interest detection; corner points; fetal genital detection; fetal genital organs; fetus sex; genital organ detection; malformations; speckles; Feature extraction; Fetus; Image segmentation; Real-time systems; Shape; Speckle; Ultrasonic imaging; Corner detection; FAST algorithm; Fetus Genital organ; prenatal sex discernment; ultrasound scanning;
fLanguage
English
Publisher
ieee
Conference_Titel
Biosignals and Biorobotics Conference (2014): Biosignals and Robotics for Better and Safer Living (BRC), 5th ISSNIP-IEEE
Conference_Location
Salvador
Print_ISBN
978-1-4799-5688-3
Type
conf
DOI
10.1109/BRC.2014.6880981
Filename
6880981
Link To Document