DocumentCode
3267006
Title
SDI: New metric for quantification of speckle noise in ultrasound imaging
Author
Joshi, K.R. ; Kamathe, R.S.
Author_Institution
Electron. & Telecommun. Dept., PES´´ Modern Coll. of Eng., Pune
fYear
2008
fDate
8-10 Oct. 2008
Firstpage
122
Lastpage
126
Abstract
In ultrasound images a special type of acoustic noise, technically known as speckle noise, is the major factor of image quality degradation. In order to improve the image quality by means of speckle suppression and thus to increase the diagnostic potential of medical ultrasound, it is important to quantify the speckle. This paper describes, quality metrics for speckle in coherent imaging and their limitations. It also describes a new metric-SDI, its uniqueness in quantifying the speckle and comparison of performance with existing metrics. Empirical verification of SDI with a set of Test Images proves its speckle quantification in ultrasound. A subjective criterion is also taken into account to support the results.
Keywords
acoustic imaging; biomedical imaging; signal denoising; diagnostic potential; image quality degradation; medical imaging system; medical ultrasound; speckle degradation index; speckle noise quantification; speckle suppression; ultrasound imaging; Acoustic imaging; Acoustic noise; Acoustic pulses; Biomedical imaging; Degradation; Humans; Image quality; Speckle; Ultrasonic imaging; Ultrasonic variables measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Signal Processing, 2008 IEEE 10th Workshop on
Conference_Location
Cairns, Qld
Print_ISBN
978-1-4244-2294-4
Electronic_ISBN
978-1-4244-2295-1
Type
conf
DOI
10.1109/MMSP.2008.4665060
Filename
4665060
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