@inproceedings{b5529a6364c447989924bc8a1227c23d,
title = "Enhanced ultrasound image reconstruction using a compressive blind deconvolution approach",
abstract = "Compressive deconvolution, combining compressive sampling and image deconvolution, represents an interesting possibility to reconstruct enhanced ultrasound images from compressed measurements. The model of compressive deconvolution includes, in addition to the measurement matrix, a 2D convolution operator carrying the information on the system point spread function which is usually unkown in practice. In this paper, we propose a novel alternating minimization-based optimization scheme to invert the resulting linear model, to jointly reconstruct enhanced ultrasound images and estimate the point spread function. The performance of the method is evaluated on both Shepp-Logan phantom and simulated ultrasound data.",
keywords = "Alternating minimization, Blind deconvolution, Compressive sampling, Ultrasound imaging",
author = "Zhouye Chen and Adrian Basarab and Denis Kouam{\'e}",
year = "2017",
month = jun,
day = "19",
doi = "10.1109/ICASSP.2017.7953357",
language = "English",
series = "IEEE International Conference on Acoustics, Speech and Signal Processing",
publisher = "IEEE",
pages = "6245--6249",
booktitle = "2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
address = "United States",
note = "42nd IEEE International Conference on Acoustics, Speech, and Signal Processing 2017, ICASSP 2017 ; Conference date: 05-03-2017 Through 09-03-2017",
}