Literature DB >> 18621468

Hybrid spectral domain method for attenuation slope estimation.

Hyungsuk Kim1, Tomy Varghese.   

Abstract

Attenuation estimation methods for medical ultrasound are important because attenuation properties of soft tissue can be used to distinguish between benign and malignant tumors and to detect diffuse disease. The classical spectral shift method and the spectral difference method are the most commonly used methods for the estimation of the attenuation; however, they both have specific limitations. Classical spectral shift approaches for estimating ultrasonic attenuation are more sensitive to local spectral noise artifacts and have difficulty in compensating for diffraction effects because of beam focusing. Spectral difference approaches, on the other hand, fail to accurately estimate attenuation coefficient values at tissue boundaries that also possess variations in the backscatter. In this paper, we propose a hybrid attenuation estimation method that combines the advantages of the spectral difference and spectral shift methods to overcome their specific limitations. The proposed hybrid method initially uses the spectral difference approach to reduce the impact of system-dependent parameters including diffraction effects. The normalized power spectrum that includes variations because of backscatter changes is then filtered using a Gaussian filter centered at the transmit center frequency of the system. A spectral shift method, namely the spectral cross-correlation algorithm is then used to compute spectral shifts from these filtered power spectra to estimate the attenuation coefficient. Ultrasound simulation results demonstrate that the estimation accuracy of the hybrid method is better than the centroid downshift method (spectral shift method), in uniformly attenuating regions. In addition, this method is also stable at boundaries with variations in the backscatter when compared with the reference phantom method (spectral difference method). Experimental results using tissue-mimicking phantom also illustrate that the hybrid method is more robust and provides accurate attenuation estimates in both uniformly attenuating regions and across boundaries with backscatter variations. The proposed hybrid method preserves the advantages of both the spectral shift and spectral difference approaches while eliminating the disadvantages associated with each of these methods, thereby improving the accuracy and robustness of the attenuation estimation.

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Mesh:

Year:  2008        PMID: 18621468     DOI: 10.1016/j.ultrasmedbio.2008.04.011

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  26 in total

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2.  Evaluation of the impact of backscatter intensity variations on ultrasound attenuation estimation.

Authors:  Eenas A Omari; Tomy Varghese; Ernest L Madsen; Gary Frank
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3.  A theoretical comparison of attenuation measurement techniques from backscattered ultrasound echoes.

Authors:  Yassin Labyed; Timothy A Bigelow
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4.  Spectral analysis framework for compressed sensing ultrasound signals.

Authors:  Jaeyoon Shim; Don Hur; Hyungsuk Kim
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5.  Lower Bound on Estimation Variance of the Ultrasonic Attenuation Coefficient Using the Spectral-Difference Reference-phantom Method.

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Journal:  Ultrason Imaging       Date:  2016-10-20       Impact factor: 1.578

6.  Signal to noise ratio comparisons for ultrasound attenuation slope estimation algorithms.

Authors:  Eenas A Omari; Tomy Varghese
Journal:  Med Phys       Date:  2014-03       Impact factor: 4.071

7.  Ultrasound Attenuation Estimation in Harmonic Imaging for Robust Fatty Liver Detection.

Authors:  Ping Gong; Chenyun Zhou; Pengfei Song; Chengwu Huang; U-Wai Lok; Shanshan Tang; Kymberly Watt; Matthew Callstrom; Shigao Chen
Journal:  Ultrasound Med Biol       Date:  2020-08-06       Impact factor: 2.998

8.  Attenuation Coefficient Parameter Computations for Tissue Composition Assessment of Carotid Atherosclerotic Plaque in Vivo.

Authors:  Catherine N Steffel; Shahriar Salamat; Thomas D Cook; Stephanie M Wilbrand; Robert J Dempsey; Carol C Mitchell; Tomy Varghese
Journal:  Ultrasound Med Biol       Date:  2020-04-11       Impact factor: 2.998

9.  Quantitative assessment of in vivo breast masses using ultrasound attenuation and backscatter.

Authors:  Kibo Nam; James A Zagzebski; Timothy J Hall
Journal:  Ultrason Imaging       Date:  2013-04       Impact factor: 1.578

10.  Method for estimating total attenuation from a spatial map of attenuation slope for quantitative ultrasound imaging.

Authors:  Alexander D Pawlicki; William D O'Brien
Journal:  Ultrason Imaging       Date:  2013-04       Impact factor: 1.578

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