Optimization of Short-Lag Spatial Coherence Imaging Method

• Autorzy: Domaradzki Jakub , Lewandowski Marcin , Żołek Norbert , Lewandowski Marcin

Identyfikatory

DOI

10.24425/aoa.2019.129275

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

short lag spatial coherence; synthetic aperture; algorithm optimization; parallel processing

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2019
• Tom: Vol. 44, No. 4
• Strony: 669--679
• Opis fizyczny: Bibliogr. 24 poz., rys., tab., wykr.

Twórcy

autor

Domaradzki Jakub

• The Faculty of Electronics and Information Technology, Warsaw University of Technology, Pl. Politechniki 1, 00-661 Warsaw, Poland

autor

Lewandowski Marcin

• The Faculty of Electronics and Information Technology, Warsaw University of Technology, Pl. Politechniki 1, 00-661 Warsaw, Poland

autor

Żołek Norbert

• Institute of Fundamental Technological Research, Polish Academy of Sciences, Pawińskiego 5B, 02-106 Warsaw, Poland

autor

Lewandowski Marcin

• Institute of Fundamental Technological Research, Polish Academy of Sciences, Pawińskiego 5B, 02-106 Warsaw, Poland

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).