DocumentCode
432266
Title
Spatial coding with curved wavefronts
Author
Zemp, Roger ; Insana, Michael F.
Author_Institution
Dept. of Biomed. Eng., California Univ., Davis, CA, USA
Volume
2
fYear
2004
fDate
23-27 Aug. 2004
Firstpage
1258
Abstract
Curved wavefronts of unfocused beams can be viewed as spatial codes that can be decoded to produce high quality images. The decoding process can be performed by spatial matched or Wiener filtering methods that are a generalization of synthetic receive processing for large apertures rather than small elements. Advantages of this technique over dynamic receive processing include potentially greater echo signal-to-noise ratio and improved spatial resolution. An analytical treatment of weakly focused Gaussian apodized beams shows that the spatial bandwidth is approximately constant with depth. Experiments and simulations illustrate the efficacy of spatial coding.
Keywords
Gaussian distribution; Wiener filters; array signal processing; biomedical ultrasonics; decoding; image coding; image resolution; matched filters; medical image processing; spatial filters; ultrasonic arrays; ultrasonic imaging; Wiener filtering; curved wavefronts; decoding; echo signal-to-noise ratio; high quality images; large apertures; medical ultrasound imaging; spatial bandwidth; spatial codes; spatial coding; spatial matched filtering; spatial resolution; synthetic receive processing; unfocused beams; weakly focused Gaussian apodized beams; Chirp; Decoding; Filtering; Focusing; Frequency; Lesions; Matched filters; Spatial resolution; Ultrasonic imaging; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Ultrasonics Symposium, 2004 IEEE
ISSN
1051-0117
Print_ISBN
0-7803-8412-1
Type
conf
DOI
10.1109/ULTSYM.2004.1418017
Filename
1418017
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