Fetal lung maturity analysis using ultrasound image features

  title={Fetal lung maturity analysis using ultrasound image features},
  author={K. N. Bhanu Prakash and A. G. Ramakrishnan and S. Suresh and T. W. P. Chow},
  journal={IEEE Transactions on Information Technology in Biomedicine},
This pilot study was carried out to find the feasibility of analyzing the maturity of the fetal lung using ultrasound images. [] Key Method A region of interest of 64/spl times/64 pixels was used for extracting the features. Various textural features were computed from the fetal lung and liver images. The ratios of fetal lung to liver feature values were investigated as possible indexes for classifying the images into those from mature (reduced pulmonary risk) and immature (possible pulmonary risk) lung.

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The liver is found as an adequate reference-organ, since there is no change of the reflection pattern between the different weeks of gestation, while there are significant changes to be registered in the fetal lung, a cutting line being week 35.

Ultrasonic fetal and placental tissue characterization and lung maturity

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It was shown by amniocentesis in 32 patients and the postpartal condition of 25 premature births that a value of 1.11 for this ratio between lung and liver represents the borderline between pulmonary immaturity and maturity.

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The trends established in these animal studies appear promising and with refinement may form the basis for sonographic assessment of fetal lung maturity in a clinical setting.

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It is concluded that the ratio of densitometrically determined tissue densities of fetal lung and liver correlate with the US, the OD 650, or phosphatidylglycerol levels and this test cannot be reliably used to predict US, OD 650 reading, or PG levels.

Prediction of fetal lung maturity: inaccuracy of study using conventional ultrasound instruments.

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Differences between the frequency spectra of the RF waveforms for mature and immature fetal tissues could be demonstrated in accordance with proposed tissue models.

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Computerized analysis renders a reliable and clinically useful diagnostic subclassification of diffuse parenchymal disease into echopattern changes prevalent in chronic hepatitis, cirrhosislfibrosis, fatty infiltration and a mixed state of cirrhotic disease with fatty infiltration which cannot be achieved by conventional liver ultrasound.