Iterative trace reconstruction of aliased RF data obtained using harmonic imaging: A feasibility study
It is critical to use a proper spatial sampling, otherwise images suffer from grating lobes. However, the cost of a medical ultrasound scanner is strongly related to the channel count of the receive electronics. This has led to channel reduction using multiplexing or in-probe pre-beamforming methods at the cost of image quality or frame rate. An alternative is to reduce the receive channel count and reconstruct the non-aliased data from spatially aliased data. Last year we reported on a wavenumber frequency domain mapping (Stolt migration) based iterative trace reconstruction method developed for fundamental imaging. However, harmonic imaging is often used in medical imaging to further improve the image quality. Here, the feasibility of using the method for harmonic imaging is investigated using in-vitro and in-vivo linear array data.
|Persistent URL||dx.doi.org/10.1109/ULTSYM.2017.8092942, hdl.handle.net/1765/103727|
|Conference||2017 IEEE International Ultrasonics Symposium, IUS 2017|
van Neer, P.L.M.J, Vos, H.J, & Volker, A.W.F. (2017). Iterative trace reconstruction of aliased RF data obtained using harmonic imaging: A feasibility study. In IEEE International Ultrasonics Symposium, IUS. doi:10.1109/ULTSYM.2017.8092942