Beamforming using spatio-temporal filtering

被引:0
|
作者
Liu, J [1 ]
Kim, K [1 ]
Insana, MF [1 ]
Brunke, S [1 ]
机构
[1] Univ Illinois, Dept Bioengn, Urbana, IL 61801 USA
来源
2005 IEEE ULTRASONICS SYMPOSIUM, VOLS 1-4 | 2005年
关键词
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Wiener spatial filtering of unfocused echo signal in the near field of low f-number apertures is a promising beamforming strategy for detecting low-contrast lesions. The advantages of the spatial filter over dynamic receive focusing (DRF) include greater echo signal-to-noise ratio (eSNR) and in proved lateral resolution. Disadvantages include sidelobe grow and a loss of eSNR gain in the far field. Temporally code pulses enhance eSNR at all depths, but generate the lowest range sidelobes in the far field. Temporal codes are distorted in the near field of low f-number apertures, unless filtering is applied to individual receive channels. In this paper we combine the best of both techniques with the goal of enhancing low contrast breast lesion visibility. Experiments and simulations illustrate the advantages and limitations of the spatio-temporal filtering method.
引用
收藏
页码:1216 / 1219
页数:4
相关论文
共 50 条
  • [1] Spatio-temporal filtering using wavelets
    M. D. Ruiz-Medina
    J. M. Angulo
    Stochastic Environmental Research and Risk Assessment, 2002, 16 : 241 - 266
  • [2] Spatio-temporal filtering using wavelets
    Ruiz-Medina, MD
    Angulo, JM
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2002, 16 (04) : 241 - 266
  • [3] Super-resolution reconstruction using spatio-temporal filtering
    Goldberg, N
    Feuer, A
    Goodwin, GC
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2003, 14 (04) : 508 - 525
  • [4] Structural control and monitoring using adaptive spatio-temporal filtering
    Shelley, S
    Vold, H
    Mains, M
    Sharp, T
    PROCEEDINGS OF THE 15TH INTERNATIONAL MODAL ANALYSIS CONFERENCE - IMAC, VOLS I AND II, 1997, 3089 : 732 - 738
  • [5] Spatio-temporal photon density estimation using bilateral filtering
    Weber, M
    Milch, M
    Myszkowski, K
    Dmitriev, K
    Rokita, P
    Seidel, HP
    COMPUTER GRAPHICS INTERNATIONAL, PROCEEDINGS, 2004, : 120 - 127
  • [6] A spatio-temporal filtering approach to motion segmentation
    Chamorro-Martínez, J
    Fdez-Valdivia, J
    Martinez-Baena, J
    PATTERN RECOGNITION AND IMAGE ANALYSIS, PROCEEDINGS, 2003, 2652 : 193 - 203
  • [7] Spatio-temporal Filtering for Fetal QRS Enhancement
    Kotas, M.
    Jezewski, J.
    Matonia, A.
    Kupka, T.
    WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING, VOL 25, PT 4: IMAGE PROCESSING, BIOSIGNAL PROCESSING, MODELLING AND SIMULATION, BIOMECHANICS, 2010, 25 : 389 - 392
  • [8] A STUDY ON SPATIO-TEMPORAL FILTERING IN THE SPIRIT OF SQUEESAR
    Even, Markus
    11TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR (EUSAR 2016), 2016, : 871 - 874
  • [9] Multivariate Kalman filtering for spatio-temporal processes
    Guillermo Ferreira
    Jorge Mateu
    Emilio Porcu
    Stochastic Environmental Research and Risk Assessment, 2022, 36 : 4337 - 4354
  • [10] Fixed Rank Filtering for Spatio-Temporal Data
    Cressie, Noel
    Shi, Tao
    Kang, Emily L.
    JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2010, 19 (03) : 724 - 745