Application of a semiautomatic boundary detection algorithm for the assessment of amniotic fluid quantity from ultrasound images.
The aim of this study was to develop a computer-assisted method to evaluate amniotic fluid volume (AFV). This was done by automatically detecting the boundaries of the amniotic fluid portion in 2-D ultrasonographic images. The study population consisted of 36 low-risk patients that were selected at random from a healthy population undergoing routine pregnancy follow-up. For each patient, images of the four quadrants of the uterus were digitized into a PC. The amniotic fluid portion in each ultrasonographic image was automatically detected, and its area was calculated. Its area was also manually determined by an expert physician (R. T.). The areas automatically detected by the algorithm were highly correlated with the areas manually delimited by the expert: r2 = 0.9722 (p < 0.01). The areas calculated by the program provide a good measure for the areas determined by the expert and may, therefore, be used for calculating the actual amniotic fluid volume.
Sagiv
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C
Medical Physics Department, School of Physics and Astronomy, Sackler Faculty of Exact Sciences, Tel Aviv University, Israel.
Akselrod
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Tepper
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R
D000465:Algorithms; D000653:Amniotic Fluid / Q000000981:diagnostic imaging*; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation / Q000379:methods / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D011247:Pregnancy; D011262:Pregnancy Trimester, Second; D011263:Pregnancy Trimester, Third; D011897:Random Allocation; D012016:Reference Values; D012044:Regression Analysis; D016216:Ultrasonography, Prenatal / Q000295:instrumentation / Q000379:methods* / Q000706:statistics & numerical data