Subramaniam, Suba R. and Hon, Tsz K. and Ling, Wing-Kuen and Georgakis, Apostolos
Optimal two-stage filtering of elastograms.
In: The 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 30th - September 3rd 2011, Boston Marriott Copley Place, Boston, Mass..
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|Item Type:||Conference or Workshop contribution (Lecture)|
|Item Status:||Live Archive|
In ultrasound elastography, tissue axial strains are obtained through the differentiation of measured axial displacements. However, during the measurement process, the displacement signals are often contaminated with de-correlation noise caused by changes in the speckle pattern in the tissue. Thus, the application of the gradient operator on the displacement signals results in the presence of amplified noise in the axial strains, which severely obscures the useful information. The use of an effective denoising scheme is therefore imperative. In this paper, a method based on a two-stage consecutive filtering approach is proposed for the accurate estimation of axial strains. The presented method considers a cascaded system of a frequency filter and a time window, which are both designed such that the overall system operates optimally as a minimum variance estimator. Experimentation on simulated signals shows that the two-stage scheme employed in this study has good potential as a denoising method for ultrasound elastograms.
|Additional Information:||“© © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”|
|Keywords:||optimization, two stage filtering, elastograms, Accurate estimation, Axial displacements, Axial strain, Cascaded system, De-noising methods, Displacement signals, Frequency filters, Gradient operators, Mean square error sense, Measurement process, Simulated signals, Speckle patterns, Time windows, Ultrasound elastography|
|Subjects:||H Engineering > H673 Bioengineering|
|Divisions:||College of Science > School of Engineering|
|Deposited On:||09 Jun 2011 09:35|
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