Encoded multiple simultaneous aperture acquisition for improved signal-to-noise ratio in ultrasound imaging

被引:0
|
作者
Hussein, H [1 ]
Youssef, ABM [1 ]
Kadah, YM [1 ]
机构
[1] Cairo Univ, Dept Biomed Engn, Cairo, Egypt
关键词
ultrasound imaging; beamforming; coded excitation; Hadamard coding;
D O I
10.1117/12.479900
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Here, we propose a new technique that allows the improvement of SNR without lowering the frame rate. The basic version of the proposed technique works by exciting multiple non-overlapping apertures at the same time. Assuming N apertures are to be acquired simultaneously, N acquisitions from such arrangement are made with different aperture coding in each acquisition. In particular, the excitation to each aperture is multiplied by a different predetermined factor for each acquisition. By properly selecting these factors, the problem of estimating the different lines become equivalent to solving a well-conditioned linear system of size N. Also, we show that such factors can be chosen to make the system matrix orthogonal, thus enabling simple solution to be obtained. We describe the implementation of such procedure and demonstrate that it is possible to achieve in practice even for systems in which the sign of excitation can only be changed. For more advanced system where coded excitations can be used, more accurate implementation taking into account element sensitivity variations within each probe for closer adherence to the desired characteristics. The proposed system results in noise reduction that is equivalent to averaging N acquisitions similar to phase encoding in magnetic resonance imaging. At the same time, the system maintains the same lateral resolution and frame rate as conventional acquisition strategies. We also discuss the use of sub-optimal overlapped apertures and describe the deterioration of SNR gain as a result of using independent rather than orthogonal apertures.
引用
收藏
页码:298 / 303
页数:6
相关论文
共 50 条
  • [1] Signal-to-noise ratio in coded aperture imaging
    Shutler, Paul M. E.
    Talebitaher, Alireza
    Springham, Stuart V.
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2012, 669 : 22 - 31
  • [2] Imaging Signal-to-Noise Ratio of Synthetic Aperture Ladar
    Liu, Liren
    UNCONVENTIONAL IMAGING AND WAVEFRONT SENSING 2015, 2015, 9617
  • [3] ESTIMATOR AND SIGNAL-TO-NOISE RATIO FOR AN INTEGRATIVE SYNTHETIC APERTURE IMAGING TECHNIQUE
    SICA, L
    APPLIED OPTICS, 1991, 30 (02): : 206 - 213
  • [4] Signal-to-noise ratio and signal-to-noise efficiency in SMASH imaging
    Sodickson, DK
    Griswold, MA
    Jakob, PM
    Edelman, RR
    Manning, WJ
    MAGNETIC RESONANCE IN MEDICINE, 1999, 41 (05) : 1009 - 1022
  • [5] IMPROVED SIGNAL-TO-NOISE RATIO IN NEUROPHYSIOLOGY
    VILLOZ, JP
    STEINER, FA
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1971, BM18 (04) : 302 - &
  • [6] Multiplane wave imaging increases signal-to-noise ratio in ultrafast ultrasound imaging
    Tiran, Elodie
    Deffieux, Thomas
    Correia, Mafalda
    Maresca, David
    Osmanski, Bruno-Felix
    Sieu, Lim-Anna
    Bergel, Antoine
    Cohen, Ivan
    Pernot, Mathieu
    Tanter, Mickael
    PHYSICS IN MEDICINE AND BIOLOGY, 2015, 60 (21): : 8549 - 8566
  • [7] Research of Spectrum Signal-to-Noise Ratio of Large Aperture Static Imaging Spectrometer
    Wang Shuang
    Xiangli Bin
    Li Li-bo
    Pi Hai-Feng
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34 (03) : 851 - 856
  • [8] DOUBLE PULSE TRANSMISSION - SIGNAL-TO-NOISE RATIO IMPROVEMENT IN ULTRASOUND IMAGING
    Trots, Ihor
    Nowicki, Andrzej
    Lewandowski, Marcin
    Secomski, Wojciech
    Litniewski, Jerzy
    ARCHIVES OF ACOUSTICS, 2008, 33 (04) : 593 - 601
  • [9] Converting Coherence to Signal-to-noise Ratio for Enhancement of Adaptive Ultrasound Imaging
    Hasegawa, Hideyuki
    Nagaoka, Ryo
    ULTRASONIC IMAGING, 2020, 42 (01) : 27 - 40
  • [10] Sparse aperture bistatic ISAR imaging under low signal-to-noise ratio condition
    Chen, Wenfeng
    Lv, Mingjiu
    Yang, Jun
    Ma, Xiaoyan
    JOURNAL OF APPLIED REMOTE SENSING, 2020, 14 (03)