A Low-Rank and Joint-Sparse Model for Ultrasound Signal Reconstruction

Autor:	Zhang, Miaomiao, Markovsky, Ivan, Schretter, Colas, D'hooge, Jan
Rok vydání:	2018
Předmět:	Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	With the introduction of very dense sensor arrays in ultrasound (US) imaging, data transfer rate and data storage became a bottleneck in ultrasound system design. To reduce the amount of sampled channel data, we propose to use a low-rank and joint-sparse model to represent US signals and exploit the correlations between adjacent receiving channels. Results show that the proposed method is adapted to the ultrasound signals and can recover high quality image approximations from as low as 10% of the samples. Comment: in Proceedings of iTWIST'18, Paper-ID: 32, Marseille, France, November, 21-23, 2018
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1812.04843 Zobrazit plný text záznamu View this record from Arxiv