A Review: Ultrasonic Imaging Based Fetal Cardiac Chambers Segmentation and Detection of Abnormality

International Journal of Research and Scientific Innovation (IJRSI) | Volume VI, Issue IV, April 2019 | ISSN 2321–2705

A Review: Ultrasonic Imaging Based Fetal Cardiac Chambers Segmentation and Detection of Abnormality 

Priyanka¹, Priyanka Bangari², Priyanka H G³, Rupesh N⁴, Shruthi Kumari⁵

^1-4UG student, ECE Department, Alva’s Institute of Engineering and Technology, Moodbidri, Karnataka, India
⁵Professor and Dean Academics, ECE Department, Alva’s Institute of Engineering and Technology, Moodbidri, Karnataka, India

Abstract Heart problems are the most common type of major birth defect and a leading cause of infant death, according to the Centers for Disease Control and Prevention. These defects are a result of underdeveloped chambers of the heart. The early detection can certainly have benefits. In this paper median filter are used to removal of noise and DWT is used to segmentation. By taking LV/RV ratio gestation period of baby can be determined in terms of week also any defect in the fetal heart can be identified.

Key words: ultrasound, filter, discrete wavelet transformation.

I. INTRODUCTION

Fetal cardiac defects are the most common abnormality found at birth and are the primary reason for the death of the new-born. These defects can be detected by many methods using ECG signals of fetus and mother. But The FECG will be contaminated by many of the unwanted signals such as power line interference, muscle contractions, respiration, skin resistance interference, and instrumental noise and uterine contractions. By using various filters can remove that noise but not fully. For that purpose ultrasound imaging is used to detect the cardiac defects also fetal growth.

II. LITERATURE SURVEY

Prabha et al [1] have presented the paper on ultrasonic imaging based fetal Cardiac chambers segmentation using discrete wavelet transforms. Doppler Ultrasonic imaging has been used to study the structural and functional aspects of fetal cardiac chambers. The ratio of left ventricle width to right ventricle width estimation closely matches with the theoretical bound for different gestation week.
Veenadevi et al [2] have presented a paper on extraction of fetal electrocardiogram from maternal electrocardiogram and classification of normal and abnormal signals. The method uses Kalman filter (KF), Least Mean Square (LMS) algorithm based on adaptive noise cancellation to extract fetal ECG. This method provides extract high quality, high signal to noise ratio fetal electrocardiogram from the mixture of maternal ECG, fetal ECG and various noises which gives clear picture of fetal heart beat signal.

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