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
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;
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
DOI :
10.1109/MMSP.2008.4665060