TY - JOUR N2 - The computing performance optimization of the Short-Lag Spatial Coherence (SLSC) method applied to ultrasound data processing is presented. The method is based on the theory that signals from adjacent receivers are correlated, drawing on a simplified conclusion of the van Cittert-Zernike theorem. It has been proven that it can be successfully used in ultrasound data reconstruction with despeckling. Former works have shown that the SLSC method in its original form has two main drawbacks: time-consuming processing and low contrast in the area near the transceivers. In this study, we introduce a method that allows to overcome both of these drawbacks. The presented approach removes the dependency on distance (the “lag” parameter value) between signals used to calculate correlations. The approach has been tested by comparing results obtained with the original SLSC algorithm on data acquired from tissue phantoms. The modified method proposed here leads to constant complexity, thus execution time is independent of the lag parameter value, instead of the linear complexity. The presented approach increases computation speed over 10 times in comparison to the base SLSC algorithm for a typical lag parameter value. The approach also improves the output image quality in shallow areas and does not decrease quality in deeper areas. L1 - http://journals.pan.pl/Content/112822/PDF/aoa.2019.129275.pdf L2 - http://journals.pan.pl/Content/112822 PY - 2019 IS - No 4 EP - 679 DO - 10.24425/aoa.2019.129275 KW - short lag spatial coherence KW - synthetic aperture KW - algorithm optimization KW - parallel processing A1 - Domaradzki, Jakub A1 - Lewandowski, Marcin A1 - Żołek, Norbert PB - Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics VL - vol. 44 DA - 2019.12.31 T1 - Optimization of Short-Lag Spatial Coherence Imaging Method SP - 669 UR - http://journals.pan.pl/dlibra/publication/edition/112822 T2 - Archives of Acoustics ER -