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
Link To Document :
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