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Authors
Affiliations
1 Department of Computer Applications, Velammal Engineering College, Affiliated to Anna University, Chennai, IN
2 Department of Computer Applications, St. Joseph College of Engineering, Affiliated to Anna University, Chennai, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 3, No 2 (2011), Pagination: 90-95
Abstract
Gestational Diabetes Mellitus is a condition in pregnant women that affects the normal fetal growth and complicates the development of placenta. This study uses the ultrasound placenta images to calculate the volume of placenta. The large placentas are normally indications of gestational diabetes mellitus. Evaluation of the volume of placenta during the routine ultrasound scan can identify placenta complicated by diabetes mellitus. Placental volume is calculated using the linear measurements of placental thickness, height and width using the concave-convex Hull formula. Based on these measurements the placenta can be classified as normal or abnormal placenta. The abnormal placenta is further classified into placenta complicated by Gestational Diabetes Mellitus and the placenta complicated by other reasons. The estimation of placental volume can identify the fetal risk in conditions of gestational diabetes mellitus. This would help to diagnose the complications at the earliest which would minimize the fetal loss, birth defects and placenta abruption.
Keywords
Placenta, Ultrasound, Linear, Volume, Gestational Diabetes Mellitus, Thickness, Height, Width, Concave-Convex Hull, Haralick Features.
