Title :
Quality control of fetal ultrasound images: Detection of abdomen anatomical landmarks using AdaBoost
Author :
Rahmatullah, Bahbibi ; Sarris, Ippokratis ; Papageorghiou, Aris ; Noble, J. Alison
Author_Institution :
Dept of Eng. Sci., Univ. of Oxford, Oxford, UK
fDate :
March 30 2011-April 2 2011
Abstract :
A fetal ultrasound (US) biometry plane can be identified from the presence and absence of landmarks in the image. We propose an automated method of detecting two important anatomical landmarks (stomach bubble and umbilical vein) from the fetal ultrasound abdomen scan for the purpose of scoring the image quality. The implementation is based on the AdaBoost learning algorithm with an execution time less than 6 seconds. Evaluation performed on 2384 images shows detection of the stomach is more accurate compared to the umbilical vein and the approach worth further investigation for quality assurance framework.
Keywords :
biomedical ultrasonics; feature extraction; learning (artificial intelligence); medical image processing; obstetrics; quality control; AdaBoost learning algorithm; abdomen anatomical landmarks; fetal ultrasound abdomen scan; fetal ultrasound biometry plane; fetal ultrasound imaging; image quality; quality assurance framework; quality control; stomach detection; umbilical vein; Biomedical imaging; Biomedical measurements; Feature extraction; Stomach; Ultrasonic imaging; Ultrasonic variables measurement; Veins; AdaBoost; Fetal ultrasound; Quality control;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-4127-3
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2011.5872342
