Prenatal diagnosis of fetal abnormities including measurement of Nuchal
Translucency (NT) using ultra-sonography is widely practiced during
early pregnancy. The drawback of current NT measurement technique is
restricted with inter and intra-observer variability and inconsistency
of results. This book, therefore, proposes an automated detection and
measurement method for NT thickness. Artificial neural network was
trained to locate the preferable region that contains NT. Border
detection of NT based on Dynamic Programming algorithm is utilized to
find the optimal thickness of the windowed region. Risk calculation is
developed referring to delta-NT via maternal age and NT thickness. The
system is designed and implemented using C++ programming environment.
This should be especially useful for students, lecturers or professional
researchers in biomedical and image processing fields.