Computational ultrasound imaging through an aberrating layer using delay-and-sum
Francesca De Carlo (Fugro)
Michael Brown (University College London, Erasmus MC)
Geert Leus (TU Delft - Signal Processing Systems)
Pieter Kruizinga (Erasmus MC, TU Delft - Signal Processing Systems)
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Abstract
Computational ultrasound imaging (cUSi) offers high-resolution 3D imaging with simpler hardware by relying on computational power. Central to cUSi is a large model matrix that stores all pulse-echo signals. For 3D imaging this matrix easily surpasses 1 terabyte, hindering in-memory storage and real-time processing. This paper presents a solution for cUSi through an aberrating layer by introducing a virtual array concept, which uses transfer functions to map data from the real to a virtual array, enabling the use of conventional reconstruction techniques like delay-and-sum (DAS). We demonstrate the mathematical similarity of this approach to using a full model matrix and validate it with promising imaging results.