© 2013

Detection of Fetal Abnormalities Based on Three Dimensional Nuchal Translucency


Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Khin Wee Lai, Eko Supriyanto
    Pages 1-9
  3. Khin Wee Lai, Eko Supriyanto
    Pages 95-108
  4. Khin Wee Lai, Eko Supriyanto
    Pages 109-111
  5. Back Matter
    Pages 113-113

About this book


Ultrasound (US) prenatal screening has been proposed as the most effective technique for Trisomy 21 early assessment. Assessment of Nuchal Translucency (NT) offers promising non-invasive method for fetal abnormalities detection up to 75%. Nevertheless, current clinician practice of NT examination by locating the sonogram calipers on 2D US image requires highly trained and competent operators by adhering to a standard tedious protocol; therefore it is prone to errors and hence it decreases the reliability in intra- and inter-observer repeatability.
This Brief provides the basic knowledge regarding Trisomy 21 diseases and its existing detection methods. The restrictions and disadvantages of each method are discussed accordingly. Therefore, a non-invasive early detection method using 3D ultrasound reconstruction of Nuchal Translucency is introduced. This new method for 3D NT assessments has an edge over the previous 2D methods, and entails the composite function in visualizing the explicit internal marker structure. Further, image processing techniques covered from data acquisition, pre-processing, speckle noise reduction and 3D segmentation are also discussed. This should be especially useful for students and professional researchers in the Biomedical and image processing fields.


3D Reconstruction Bland-Altman Test Down Syndrome Fetal Abnormalities Nuchal Translucency Pearson’s Correlation Coefficient Trisomy 21 Ultrasound Prenatal Screening

Authors and affiliations

  1. 1., Dept. of Clinical Science and EngineerinUniversiti Teknologi MalaysiaSkudai-JohorMalaysia
  2. 2., Clinical Engineering Research LaboratoryUniversiti Teknologi MalaysiaSkudai-JohorMalaysia

About the authors

Dr. Lai Khin Wee obtained his PhD in Biomedical Engineering under DAAD PhD sandwich program between Technische Universität Ilmenau, Germany and Universiti Teknologi Malaysia, Johor Bahru. His research interests include medical imaging, 3D reconstruction and visualization, medical informatics and medical instrumentation. He is a professional member of ACM and he served as the member of board of editorial for a few international journals. Meanwhile, he is also the program committee and peer reviewer for over 20 international conferences. He has more than 30 publications and book chapters in the field of biomedical image processing.

Prof. Dr.-Ing. Eko Supriyanto is currently Head of Department for Clinical Science and Engineering, as well as Head of Diagnostics Research Group, University Technology Malaysia. He obtained Doctor of Engineering in electronics material from University of Federal Armed Forces Hamburg Germany. He has more than 50 international publications in the area of ultrasound and image processing since 1997. His interest research areas are ultrasound and electronics application in medicine, industry and military

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