Row Transmission for High Volume-Rate Ultrasound Imaging With a Matrix Array
Summary
A new row-transmission (RT) scheme improves 3-D ultrasound imaging by bypassing blank rows, enhancing spatial resolution and image quality. This method shows superior performance in phantom and in vivo studies for anatomical imaging and motion estimation.
Area of Science:
- Medical Imaging
- Ultrasound Technology
- Biomedical Engineering
Background:
- Standard 1024-element matrix arrays for 3-D ultrasound suffer from blank rows, degrading volumetric image quality.
- These blank rows disrupt elevation periodicity, limiting 3-D spatial resolution and overall image fidelity.
Purpose of the Study:
- To introduce a novel row-transmission (RT) scheme to enhance 3-D ultrasound imaging.
- To improve spatial resolution and overcome limitations caused by blank rows in the elevational direction.
- To maintain azimuthal steering capability while enhancing volumetric image quality.
Main Methods:
- The RT scheme divides the array into four multi-row apertures (MRAs), each transmitting diverging waves (DWs) sequentially.
- It employs coherent DW compounding (CDWC) in azimuth and multielement synthetic aperture (M-SA) imaging in elevation.
- The cascaded synthetic aperture (CaSA) strategy was integrated as RT-CaSA to boost signal-to-noise ratio (SNR).
Main Results:
- Phantom studies showed RT significantly improved lateral resolution compared to conventional Bank-by-bank transmission-reception (Bank) and sparse-random-aperture compounding (SRAC).
- RT-CaSA demonstrated superior contrast ratios (CRs) over Bank and SRAC.
- In vivo human abdominal aorta imaging confirmed RT-CaSA achieved the highest aortic wall motion estimation accuracy.
Conclusions:
- The proposed RT scheme effectively bypasses blank rows, enhancing 3-D ultrasound spatial resolution and image quality.
- RT-CaSA offers significant improvements in contrast and motion estimation accuracy, outperforming existing methods.
- This RT scheme holds considerable potential for advancing various matrix array-based 3-D imaging applications.


