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Automatic segmentation of ultrasound images using morphological operators
J G Thomas1, R A Peters, P Jeanty
1Vanderbilt Univ., Nashville, TN.
IEEE Transactions on Medical Imaging
|January 1, 1991
Summary
This study introduces an automated method for measuring fetal femur length from ultrasound images, improving accuracy and consistency over manual techniques. This advancement aids in more reliable gestational age estimation.
Area of Science:
- Medical imaging
- Biomedical engineering
- Obstetrics
Background:
- Fetal femur length measurement is crucial for estimating gestational age.
- Current manual methods using ultrasound are subjective and inconsistent.
- Automated techniques are needed to improve accuracy and reliability.
Purpose of the Study:
- To develop and evaluate an automated method for measuring fetal femur length in ultrasound images.
- To compare the accuracy and consistency of the automated method against manual measurements.
Main Methods:
- Utilized morphological operators to process fetal ultrasound images.
- Applied image processing techniques to remove noise and refine femur shape.
- Generated a single-pixel-wide femur skeleton to identify endpoints for length calculation.
Main Results:
- The automated method successfully measured fetal femur length.
- A comparison between manual and automated measurements was conducted.
- Results demonstrated the potential for improved consistency and accuracy.
Conclusions:
- The proposed automated method offers a promising alternative to manual femur length measurement.
- This technique can enhance the reliability of gestational age estimation.
- Further validation is recommended for clinical application.
