TY - JOUR
T1 - Master Frame Extraction of Fetal Cardiac Images Using B Mode Ultrasound Images
AU - Venugopal, Sushma Tumkur
AU - Natarajan, Sriraam
AU - Arakeri, Megha P.
AU - Seshadri, Suresh
N1 - Publisher Copyright:
© 2022 Trans Tech Publications Ltd, Switzerland.
PY - 2022
Y1 - 2022
N2 - Fetal Echocardiography is used for monitoring the fetal heart and for detection of Congenital Heart Disease (CHD). It is well known that the fetal cardiac four chamber view has been widely used for preliminary examination for the detection of CHD. The end diastole frame is generally used for the analysis of the fetal cardiac chambers which is manually picked by the clinician during examination/screening. This method is subjected to intra and inter observer errors and is also time consuming. The proposed study aims to automate this process by determining the frame, referred to as the Master frame from the cine loop sequences that can be used for the analysis of the fetal heart chambers instead of the clinically chosen diastole frame. The proposed framework determines the correlation between the reference (first) frame with the successive frames to identify one cardiac cycle. Then the Master frame is formed by superimposing all the frames belonging to one cardiac cycle. The master frame is then compared with the clinically chosen diastole frame in terms of fidelity metrics such as Dice coefficient, Hausdorff distance, mean square error and structural similarity index. The average value of the fidelity metrics for the dataset used in this study, 0.73 for Dice, 13.94 for Hausdorff distance, 0.99 for Structural Similarity Index and 0.035 for mean square error confirms the suitability of the proposed master frame extraction thereby avoiding manual intervention by the clinician.
AB - Fetal Echocardiography is used for monitoring the fetal heart and for detection of Congenital Heart Disease (CHD). It is well known that the fetal cardiac four chamber view has been widely used for preliminary examination for the detection of CHD. The end diastole frame is generally used for the analysis of the fetal cardiac chambers which is manually picked by the clinician during examination/screening. This method is subjected to intra and inter observer errors and is also time consuming. The proposed study aims to automate this process by determining the frame, referred to as the Master frame from the cine loop sequences that can be used for the analysis of the fetal heart chambers instead of the clinically chosen diastole frame. The proposed framework determines the correlation between the reference (first) frame with the successive frames to identify one cardiac cycle. Then the Master frame is formed by superimposing all the frames belonging to one cardiac cycle. The master frame is then compared with the clinically chosen diastole frame in terms of fidelity metrics such as Dice coefficient, Hausdorff distance, mean square error and structural similarity index. The average value of the fidelity metrics for the dataset used in this study, 0.73 for Dice, 13.94 for Hausdorff distance, 0.99 for Structural Similarity Index and 0.035 for mean square error confirms the suitability of the proposed master frame extraction thereby avoiding manual intervention by the clinician.
UR - https://www.scopus.com/pages/publications/85123310812
UR - https://www.scopus.com/pages/publications/85123310812#tab=citedBy
U2 - 10.4028/www.scientific.net/JBBBE.54.51
DO - 10.4028/www.scientific.net/JBBBE.54.51
M3 - Article
AN - SCOPUS:85123310812
SN - 2296-9837
VL - 54
SP - 51
EP - 64
JO - Journal of Biomimetics, Biomaterials and Biomedical Engineering
JF - Journal of Biomimetics, Biomaterials and Biomedical Engineering
ER -