PROJECT TITLE :
Multi-line transmission combined with minimum variance beamforming in medical ultrasound imaging
Increasing medical ultrasound imaging frame rate is very important in many applications like cardiac diagnostic imaging, where it is fascinating to be ready to examine the temporal behavior of quick phases in the cardiac cycle. This is often particularly true in three-D imaging, where current frame rate continues to be much slower than normal two-D, B-mode imaging. Recently, a methodology that will increase frame rate, labeled multi-line transmission (MLT), was reintroduced and analyzed. In MLT scanning, the transmission is simultaneously centered at many directions. This scan mode introduces artifacts that stem from the overlaps of the receive main lobe with the transmit aspect lobes of further transmit directions besides the one in every of interest. Similar overlaps occur between the transmit main lobe with receive aspect lobes. These artifacts are known within the signal processing community as cross-talk. Previous studies have targeted on proper transmit and receive apodization, also transmit directions arrangement in the transmit event, to reduce the cross-talk artifacts. This study examines the possibility of using adaptive beamforming, specifically, minimum variance (MV) and linearly constrained minimum variance (LCMV) beamforming, to reduce the cross-speak artifacts, and maintain or perhaps improve image quality characteristics. Simulation results, plus experimental phantom and in vivo cardiac information, demonstrate the feasibility of reducing cross-speak artifacts with MV beamforming. The MV and LCMV results achieve superior spatial resolution, not solely over alternative MLT strategies with information-freelance apodization, but even over that of single-line transmission (SLT) without receive apodization. The MV beamformer is shown to be less sensitive to wider transmit profiles required to cut back the transmit crosstalk artifacts. MV beamforming, combined with the broader transmit profiles, will provide a smart approach for MLT scanning with reduced cross-talk artifacts, without compromising spatial resoluti- n, and even improving it. We tend to conjointly demonstrate that the MV and LCMV beamformers result in nearly identical results. This can be because of their very similar beampatterns, apart from the sharp nullifying properties that the LCMV beamformer has around interfering beams.
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