DocumentCode :
1825819
Title :
Optimization of contrast sensitivity and specificity of quadratic ultrasonic imaging
Author :
Al-Mistarihi, Mamoun F.
Author_Institution :
Dept. of Electr. Eng., Jordan Univ. of Sci. & Technol., Irbid
fYear :
2008
fDate :
14-17 May 2008
Firstpage :
1299
Lastpage :
1302
Abstract :
We present a new algorithm of post-beamforming second order Volterra filter (SOVF) for deriving the quadratic kernel based on the convolution of the singular modes quadratic kernels which give the highest contrast-to-tissue ratio (CTRs) to extract quadratic components from ultrasound contrast agent (UCA) nonlinear echoes with single transmission. The new algorithm leads to reduction of tissue component and increase the specificity while optimizing the sensitivity to the UCA. The algorithm is demonstrated experimentally using images from in vivo kidney after bolus injection with UCA. Illustrative images of the kidney of a juvenile pig were obtained before and after infusion of contrast agent (SonoVue, Bracco, Geneva, Switzerland) at various concentrations. The imaging results given in this paper indicate that a signal processing approach to this clinical challenge is feasible.
Keywords :
biological tissues; biomedical ultrasonics; bubbles; convolution; filtering theory; kidney; medical image processing; nonlinear filters; bolus injection; contrast sensitivity optimization; contrast-to-tissue ratio; convolution; in vivo juvenile pig kidney; microbubble ultrasound contrast agents; nonlinear echoes; post-beamforming second order Volterra filter algorithm; quadratic ultrasonic imaging specificity; signal processing approach; singular modes quadratic kernels; tissue component reduction; Acoustic imaging; Band pass filters; Convolution; Frequency; Kernel; Power harmonic filters; Sensitivity and specificity; Signal processing algorithms; Spatial resolution; Ultrasonic imaging; contrast-to-tissue ratio; post-beamforming; second order Volterra filter; ultrasound contrast agent;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-2002-5
Electronic_ISBN :
978-1-4244-2003-2
Type :
conf
DOI :
10.1109/ISBI.2008.4541242
Filename :
4541242
Link To Document :
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