Golay improvement of the robustness of mean scatterer spacing measurement with ultrasonic backscattering

Pan, Wenlei; Shen, Yi; Liu, Ting; Wang, Yan

doi:10.3233/bme-151335

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…Pan et al incorporated coded excitation (Golay) into FT power cepstrum MSS estimate. 61 Benefits brought by coded excitation include longer penetration depth, suppression of interference peaks in power cepstrum estimation, and robustness against noise.…”

Section: Classification By Clinical Applicationmentioning

confidence: 99%

A Review of Ultrasound Tissue Characterization with Mean Scatterer Spacing

Zhou

et al. 2017

Ultrason Imaging

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Tissues exhibiting quasi-periodic structures can be modeled as a collection of diffuse scatterers and coherent scatterers. The mean scatterer spacing (MSS) of coherent and quasi-periodic components is directly related to tissue microstructure and has become an important quantitative ultrasound (QUS) parameter in the characterization of quasi-periodic tissues. In this paper, a review of the literature on the development of MSS as a QUS parameter was conducted. First, a unified theoretical background of MSS estimates was provided. Then, the application of MSS estimates was summarized with respect to liver, spleen, breast, bone, muscle, and other tissues. MSS estimation techniques were applied to (a) the diagnosis of hepatitis, liver fibrosis and cirrhosis, and lesions in tissues such as liver, breast, and spleen; (b) the differentiation between benign and malignant breast tumors, and the grading of breast cancer; (c) the detection of cancellous bone; and (d) the monitoring of the efficacy of treatments such as thermal ablation, with various levels of success. Future developments were also discussed in terms of real-time implementation of MSS estimates, local MSS estimation, relationship of MSS to other QUS parameters, combination of MSS with other QUS parameters, in vivo validation of MSS estimates, MSS parametric imaging, and three-dimensional ultrasound tissue characterization.

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Section: Classification By Clinical Applicationmentioning

confidence: 99%

A Review of Ultrasound Tissue Characterization with Mean Scatterer Spacing

Zhou

et al. 2017

Ultrason Imaging

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“…Since then, the publication rate of studies related to periodicity estimation has slowed down. Recently, Pan et al (2014Pan et al ( , 2015 presented a method of mode decomposition-based cepstrum spacing measurement of MSS changes in quasi-periodic trabecular bones. In 2013, Rubert and Varghese (2013) compared multitaper coherence and single-taper to estimate MSS and concluded that the multi-taper significantly improves over single-taper.…”

Section: Introductionmentioning

confidence: 99%

Mean scatterer space estimation from ultrasound signals combining singular spectral analysis and entropy

Kauati¹,

Pereira

Campos

2018

Res. Biomed. Eng.

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Introduction: Ultrasound (US) is a nonionizing radiation capable of real time imaging at low cost. Its most attractive application is quantitative tissue characterization with the objective of differentiating normal tissues from diseased tissues. In this study, an automated method using singular spectrum analysis (SSA) to estimate the mean scatterer space (MSS) of US signals is proposed. Methods: Entropy was used to determine the optimal number of components for the SSA. Subsequently, this number was compared with the results using a fixed number of components. A method based on the spectrum of the original signal was also used for comparison. The method was evaluated by using 24,000 simulated US signals, i.e., echoes and jitters backscattered from samples with different ratios of regular-to-irregular structure, as well as with 152 signals obtained from a phantom made of nylon wires. Results: For the simulated signals, the proposed method for estimating the MSS presented results similar to the other methods that were tested. However, the magnitude-of-the-spectrum method loses the phase information, and hence, does not allow the characterization of irregular structures. For the signals recorded from the phantom, the methods using SSA and entropy achieved better results. Conclusion: In this study, the combination of SSA with entropy to estimate the MSS of a periodic or quasi-periodic medium was proposed. The proposed method achieved similar or better results compared with two other methods found in the scientific literature. The novelty of the proposed method is the application of entropy as a quantitative criterion for selecting the SSA periodic components, allowing it to become independent of heuristic criteria.

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“…They used simulated and real backscattered echoes of liver tissues in vivo and concluded that their method is potentially superior to Simon's (1997), avoiding false peaks in the spectrum. More recently, Pan et al (2015) proposed a Golay code-based cepstrum estimation and the results show that the method is robust against noise.…”

Section: Introductionmentioning

confidence: 99%