Compensated Row-Column Ultrasound Imaging System Using Three Dimensional Random Fields

摘要

The row-column method received a lot of attention for 3-D ultrasound imaging. This simplification technique reduces the number of connections required to address a 2-D array and therefore reduces the amount of data to handle. However, Row-column ultrasound imaging still has its limitations: the issues of data sparsity, speckle noise, and the spatially varying point spread function with edge artifacts must all be taken into account when building a reconstruction framework. In this work, we introduce a compensated row-column ultrasound imaging system, termed 3D-CRC, that leverages 3-D information within an extended 3-D random field model to compensate for the intrinsic limitations of row-column method. Tests on 3D-CRC and previously published row-column ultrasound imaging systems show the potential of our proposed system as an effective tool for enhancing 3-D row-column imaging.