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Apodized adaptive beamformer.
1Graduate School of Science and Engineering, University of Toyama, Toyama, 930-8555, Japan. hasegawa@eng.u-toyama.ac.jp.
Journal of Medical Ultrasonics (2001)
|January 14, 2017
Summary
Apodization significantly improves medical ultrasound image quality. Applying various apodization functions, including lateral modulation, to adaptive beamforming enhances spatial resolution and contrast in phantom experiments.
Area of Science:
- Medical Ultrasound Imaging
- Acoustic Signal Processing
- Biomedical Engineering
Background:
- Ultrasound image quality, including spatial resolution and contrast, is crucial for diagnosis.
- Apodization is a key factor influencing ultrasound image quality.
- Previous adaptive beamforming studies, like amplitude and phase estimation (APES), primarily used rectangular apodization.
Purpose of the Study:
- To investigate the effects of different apodization functions on image quality in adaptive beamforming.
- To evaluate apodization's impact on spatial resolution and contrast in medical ultrasound.
- To explore apodization in a modified APES beamformer with sub-aperture beamforming.
Main Methods:
- A modified APES beamformer utilizing sub-aperture beamforming was employed.
- The receiving aperture was divided into four sub-apertures for APES beamforming.
- Apodization with rectangular, Gaussian, and two Hanning functions (for lateral modulation) was applied before delay-and-sum (DAS) beamforming.
Main Results:
- The modified APES beamformer achieved superior spatial resolution (0.38 mm) compared to conventional DAS (0.67 mm).
- Gaussian apodization further improved spatial resolution to 0.34 mm and contrast to 5.1 dB.
- Apodization with two Hanning functions (lateral modulation) enhanced image "tagging" compared to DAS with the same apodization.
Conclusions:
- Apodization is effective in enhancing adaptive beamforming performance.
- The modified APES beamformer with apodization shows potential for improved accuracy in measuring tissue lateral motion.
- Further research into apodization techniques can optimize ultrasound image quality and diagnostic capabilities.
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