Artifacts detection-based adaptive filtering to noise reduction of strain imaging

Shao, Dangguo; Yuan, Yixuan; Xiang, Yan; Yu, Zhengtao; Liu, Paul; Dong, Cheng-Di

doi:10.1016/j.ultras.2019.05.007

Cited by 9 publications

(4 citation statements)

References 33 publications

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“… 2003 ; Shao et al. 2019 ; van Hal et al. 2023 ) and multi-view/multi-perspective ultrasound imaging to improve anisotropic contrast and resolution by increasing the signal/contrast-to-noise ratio (Zimmer et al.…”

Section: Introductionmentioning

confidence: 99%

Using averaged models from 4D ultrasound strain imaging allows to significantly differentiate local wall strains in calcified regions of abdominal aortic aneurysms

Hegner

Wittek

Derwich

et al. 2023

Biomech Model Mechanobiol

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Abdominal aortic aneurysms are a degenerative disease of the aorta associated with high mortality. To date, in vivo information to characterize the individual elastic properties of the aneurysm wall in terms of rupture risk is lacking. We have used time-resolved 3D ultrasound strain imaging to calculate spatially resolved in-plane strain distributions characterized by mean and local maximum strains, as well as indices of local variations in strains. Likewise, we here present a method to generate averaged models from multiple segmentations. Strains were then calculated for single segmentations and averaged models. After registration with aneurysm geometries based on CT-A imaging, local strains were divided into two groups with and without calcifications and compared. Geometry comparison from both imaging modalities showed good agreement with a root mean squared error of 1.22 ± 0.15 mm and Hausdorff Distance of 5.45 ± 1.56 mm (mean ± sd, respectively). Using averaged models, circumferential strains in areas with calcifications were 23.2 ± 11.7% (mean ± sd) smaller and significantly distinguishable at the 5% level from areas without calcifications. For single segmentations, this was possible only in 50% of cases. The areas without calcifications showed greater heterogeneity, larger maximum strains, and smaller strain ratios when computed by use of the averaged models. Using these averaged models, reliable conclusions can be made about the local elastic properties of individual aneurysm (and long-term observations of their change), rather than just group comparisons. This is an important prerequisite for clinical application and provides qualitatively new information about the change of an abdominal aortic aneurysm in the course of disease progression compared to the diameter criterion.

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Section: Introductionmentioning

confidence: 99%

Using averaged models from 4D ultrasound strain imaging allows to significantly differentiate local wall strains in calcified regions of abdominal aortic aneurysms

Hegner

Wittek

Derwich

et al. 2023

Biomech Model Mechanobiol

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“…Denoising for the ultrasonic signal is essentially a process of suppressing the useless part of the signal and enhancing the useful part. At present, the denoising methods of ultrasonic signals mainly include Fourier Analysis, wavelet transform-based multiresolution analysis [8], Principal Component Analysis (PCA) [9], Empirical Mode Decomposition (EMD) [10], Independent Component Analysis (ICA) [11], high order statistics-based denoising [12], Adaptive Filtering [13], etc. Among them, wavelet transform (WT) denoising can suppress the interference of high-frequency noise, effectively distinguish high-frequency information from high-frequency noise and protect the spikes and sudden changes of useful signals.…”

Section: Introductionmentioning

confidence: 99%

Denoising of LCR Wave Signal of Residual Stress for Rail Surface Based on Lifting Scheme Wavelet Packet Transform

Pan

et al. 2021

Coatings

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According to the acousto elastic effect, the residual stress on the surface of the rail can be evaluated by measuring the change in the propagation velocity of ultrasonic waves, such as longitudinal critically refracted (LCR) waves on the surface of the rail. The LCR wave signal is often polluted by a variety of noise sources, coupled with the influence of the poor surface condition of the inspected component, which greatly reduces the detectability and online measurement ability of the LCR wave signal. This paper proposes the application of the lifting scheme wavelet packet transform (LSWPT) denoising method to solve the noise suppression problem of LCR wave signal. The traditional wavelet transform (WT), wavelet packet transform (WPT), as well as the lifting scheme wavelet transform (LSWT) and lifting scheme wavelet packet transform are compared and analyzed in the soft thresholding and hard thresholding processing of denoising ability and efficiency of the noisy LCR wave signal. The experimental results show that the LSWPT method has the characteristics of fast calculation speed and a good denoising effect, and it is an efficient method of denoising signals for on-line ultrasonic measurement of residual stress on the rail surface.

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“…At present, video-assisted thoracic surgery (VATS) lobectomy has basically matured and gained wide acceptance. The surgical technique is also gradually refined and perfected day by day [ 6 , 7 ]. The National Comprehensive Cancer Network (NCCN) lung cancer treatment guidelines clearly point out that “VATS lobectomy is a viable option for resectable lung cancer,” which means that the role of thoracoscopic lobectomy for the treatment of benign lung lesions or early malignant lesions has been confirmed [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Internet of Things-Based Ultrasound-Guided Erector Spinae Plane Block Combined with Edaravone Anesthesia in Thoracoscopic Lobectomy

Wang

Zhou

et al. 2021

Journal of Healthcare Engineering

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This paper aimed to study the application value of Internet of Things (IoT) edge computing algorithm-based ultrasound-guided erector spinae plane block combined with edaravone anesthesia in thoracoscopic lobectomy. A total of 110 patients undergoing thoracoscopic resection were selected as subjects. The patients were anesthetized with erector spinae plane block combined with edaravone before surgery and underwent chest ultrasound scan. IoT edge computing algorithm was constructed and applied to ultrasound images of patients to enhance and denoise the images. It was found that, in different mixed noise mixtures (Gaussian noise 10% + speckle noise 90%; Gaussian noise 30% + speckle noise 70%), the edge computing algorithm can still maintain the edge information of the output image, showing better performance on edge information detection and denoising compared with the Prewitt and Canny operator. In addition, visual analog scale (VAS) scores decreased with postoperative time after edaravone anesthesia induction and erector spinae plane block lobectomy and reached the lowest level after five days. In short, erector spinae plane block combined with edaravone showed good sedative and analgesic effects on patients undergoing thoracoscopic lobectomy. Ultrasound images processed by IoT edge computing algorithm showed high accuracy in the identification of lung lesions, which was worth applying to clinical diagnosis.

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Artifacts detection-based adaptive filtering to noise reduction of strain imaging

Cited by 9 publications

References 33 publications

Using averaged models from 4D ultrasound strain imaging allows to significantly differentiate local wall strains in calcified regions of abdominal aortic aneurysms

Using averaged models from 4D ultrasound strain imaging allows to significantly differentiate local wall strains in calcified regions of abdominal aortic aneurysms

Denoising of LCR Wave Signal of Residual Stress for Rail Surface Based on Lifting Scheme Wavelet Packet Transform

Internet of Things-Based Ultrasound-Guided Erector Spinae Plane Block Combined with Edaravone Anesthesia in Thoracoscopic Lobectomy

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