Improved Ultrasound Microvessel Imaging Using Deconvolution with Total Variation Regularization
Singular value decomposition-based clutter filters can robustly reject tissue clutter, allowing for detection of slow blood flow in imaging microvasculature. However, to identify microvessels, high ultrasound frequency must be used to increase the spatial resolution at the expense of shorter depth of penetration. Deconvolution using Tikhonov regularization is an imaging processing method widely used to improve spatial resolution. The ringing artifact of Tikhonov regularization, though, can produce image artifacts such as non-existent microvessels, which degrade image quality.
Source: Ultrasound in Medicine and Biology - Category: Radiology Authors: U-Wai Lok, Joshua D. Trzasko, Chengwu Huang, Shanshan Tang, Ping Gong, Yohan Kim, Fabrice Lucien, Matthew R. Lowerison, Pengfei Song, Shigao Chen Tags: Original Contribution Source Type: research