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Fig. 5. Images generated by two hyperechoic inclusions were simulated with SIMUS3 using compounding plane-wave imaging with a 32×32 3-MHz matrix array. a) Inclusions and matrix array; b) scatterers’ distribution, c) <t>ultrasound</t> volume image; d) volume rendering.
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Fig. 5. Images generated by two hyperechoic inclusions were simulated with SIMUS3 using compounding plane-wave imaging with a 32×32 3-MHz matrix array. a) Inclusions and matrix array; b) scatterers’ distribution, c) ultrasound volume image; d) volume rendering.

Journal: Computer methods and programs in biomedicine

Article Title: SIMUS3: An open-source simulator for 3-D ultrasound imaging.

doi: 10.1016/j.cmpb.2024.108169

Figure Lengend Snippet: Fig. 5. Images generated by two hyperechoic inclusions were simulated with SIMUS3 using compounding plane-wave imaging with a 32×32 3-MHz matrix array. a) Inclusions and matrix array; b) scatterers’ distribution, c) ultrasound volume image; d) volume rendering.

Article Snippet: The purpose of SIMUS and SIMUS3 is not to overshadow existing simulators like Field II and k-Wave but rather to contribute to the ultrasound research community through our open-source MATLAB toolbox MUST [8], which is now also available in Python (https://github.com/creatis-ULT IM/PyMUST).

Techniques: Generated, Imaging