NDLI: Frequency Compounding for Ultrasound Freehand Elastography

Content Provider	IEEE Xplore Digital Library
Author	Yangjie Cheng Shaoguo Cui Liu, D.C. Liu, P.
Copyright Year	2010
Abstract	Ultrasound elastography is the technique of obtaining the tissue relative stiffness information, which plays an important role in early diagnosis. Conventional elastography computes the strain from the gradient of the displacement estimates between gated pre- and post-compression echo signals. Although elastography has been proven to be a potential diagnosis tool for breast/prostate tumor, vascular stiffening and hepatocirrhosis diseases, the application of frequency compounding in elastography to reduce coherent artifact of elastic imaging has rarely been reported. In this paper, a new method called Transmit-side Frequency Compounding for Elastography (TSEC) is proposed, which involves using weighted compounding of different frequency sub-elastograms. The sub-elastograms are formed from the corresponding probe center frequency echo signal pairs reflected from the tissue ROI. Due to the frequency dependent reflection process, these sub-elastograms should have different speckle pattern. Upon compounding these sub-elastograms, the amount of speckle in the resultant strain image is reduced. The effect of TSFC are investigated through phantom experiments, which confirms the reduction in strain image artifact is accomplished with no sacrifice of real-time ultrasonic imaging as well as a measurable improvement in SNRe and CNRe.
Starting Page	1
Ending Page	4
File Size	907613
Page Count	4
File Format	PDF
ISBN	9781424447121
ISSN	21517622
DOI	10.1109/ICBBE.2010.5516592
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ultrasonic imaging Frequency dependence Speckle Strain measurement Imaging phantoms Capacitive sensors Breast neoplasms Reflection Probes Diseases
Content Type	Text
Resource Type	Article

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