2D filter design for the reduction of bveamforming artifacts in coarsely-sampled imaging apertures

Yayun Wan, Emad S Ebbini

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


We have previously introduced a k-space based 2D beamforming filter for restoring image contrast loss due to sampling of the imaging apertures. The 2D regularized operator was obtained and implemented on full frame in k-space using computationally-efficient 2D fast Fourier (FFT). The computational efficiency of the 2D filter be further improved by implementing the filter in the spatial provided the filter has finite region of support (ROS). We developed a weighting algorithm for limiting the ROS to 0.03% of the full k-space implementation. The was verified using Field II in imaging a specklegenerating phantom.We simulated two 25 MHz linear arrays λ/2 and with 2λ element spacing. The simulation results that the 2D spatial filter with finite ROS can achieve same level of restoration in CR while maintaing the same of spatial resolution achieved by the full k-space filtering . We also present the first experimental verification of performance of our 2D PIO approach on linear array imaging quality assurance phantom with contrast targets. RF frame from cystic targets were collected and processed using an designed 2D PIO. The results show that the CR were increased by approximately 8 dB without significant reduction in spatial resolution.

Original languageEnglish (US)
Article number4803376
Pages (from-to)483-486
Number of pages4
JournalProceedings - IEEE Ultrasonics Symposium
StatePublished - 2008
Event2008 IEEE International Ultrasonics Symposium, IUS 2008 - Beijing, China
Duration: Nov 2 2008Nov 5 2008


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