Notice of Removal: Fast and robust spatiotemporal microvessel clutter filtering with randomized singular value decomposition (rSVD) and randomized spatial downsampling

Singular value decomposition (SVD)-based clutter filtering has demonstrated superior clutter rejection performance in the emerging field of ultrasound microvessel imaging. To alleviate the computational burden of SVD, here we present a fast and robust clutter filter using randomized SVD (rSVD) and randomized spatial downsampling (rSD). rSVD accelerates SVD by approximating and removing the first k-order singular values that represent tissue, and rSD achieves further speed-up by allowing parallel processing without introducing artifacts associated with regularized downsampling.

Duke Scholars

Author Pengfei Song Biomedical Engineering