期刊
ULTRASOUND IN MEDICINE AND BIOLOGY
卷 48, 期 6, 页码 975-996出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ultrasmedbio.2022.01.009
关键词
Spatial coherence; Beamforming; Clutter reduction; Image quality characterization; Tissue characterization
资金
- National Institutes of Health from the National Institute of Biomedical Imaging and Bioengineering [R01-EB026574, R01-EB017711]
- National Institutes of Health from the National Science Foundation Graduate Research Fellowship Program [R01-EB026574, R01-EB017711]
Traditional pulse-echo ultrasound imaging relies on signal magnitudes but is limited in mitigating image degradation. Spatial coherence theory and advances offer insights and improvements in image quality.
Traditional pulse-echo ultrasound imaging heavily relies on the discernment of signals based on their relative magnitudes but is limited in its ability to mitigate sources of image degradation, the most prevalent of which is acoustic clutter. Advances in computing power and data storage have made it possible for echo data to be alternatively analyzed through the lens of spatial coherence, a measure of the similarity of these signals received across an array. Spatial coherence is not currently explicitly calculated on diagnostic ultrasound scanners but a large number of studies indicate that it can be employed to describe image quality, to adaptively select system parameters and to improve imaging and target detection. With the additional insights provided by spatial coherence, it is poised to play a significant role in the future of medical ultrasound. This review details the theory of spatial coherence in pulse-echo ultrasound and key advances made over the last few decades since its introduction in the 1980s. (C) 2022 World Federation for Ultrasound in Medicine & Biology. All rights reserved.
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