A New Method for Estimating the Effective Poisson’s Ratio in Ultrasound Poroelastography

Islam, Tauhidul; Chaudhry, Anuj; Tang, Songyuan; Tasciotti, Ennio; Righetti, Raffaella

doi:10.1109/tmi.2018.2792437

Cited by 41 publications

(39 citation statements)

References 65 publications

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“…In this paper, the proposed method has been used in combination with the strain estimation technique proposed in [29]. However, it is expected to be useful also when used in conjunction with other sample-based strain estimation techniques [52,53].…”

Section: Discussionmentioning

confidence: 99%

“…In vivo data acquisition was approved by the Houston Methodist Research Institute, Institutional Animal Care and Use Committee (ACUC-approved protocol # AUP-0614-0033). Details about the in vivo experiment have been reported previously [29].…”

Section: Methodsmentioning

confidence: 99%

“…Kalman filtering has been successfully used in a number of di erent scientific and engineering fields [16,11], including ultrasound elastography [53,28,39,29]. In [53], the authors proposed to use Kalman filtering to improve strain estimation.…”

Section: Introductionmentioning

confidence: 99%

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A novel filter for accurate estimation of fluid pressure and fluid velocity using poroelastography

Islam

Righetti

2018

Computers in Biology and Medicine

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Fluid pressure and fluid velocity carry important information for cancer diagnosis, prognosis and treatment. Recent work has demonstrated that estimation of these parameters is theoretically possible using ultrasound poroelastography. However, accurate estimation of these parameters requires high quality axial and lateral strain estimates from noisy ultrasound radio frequency (RF) data. In this paper, we propose a filtering technique combining two efficient filters for removal of noise from strain images, i.e., Kalman and nonlinear complex diffusion filters (NCDF). Our proposed filter is based on a novel noise model, which takes into consideration both additive and amplitude modulation noise in the estimated strains. Using finite element and ultrasound simulations, we demonstrate that the proposed filtering technique can significantly improve image quality of lateral strain elastograms along with fluid pressure and velocity elastograms. Technical feasibility of the proposed method on an in vivo set of data is also demonstrated. Our results show that the CNRe of the lateral strain, fluid pressure and fluid velocity as estimated using the proposed technique is higher by at least 10.9%, 51.3% and 334.4% when compared to the results obtained using a Kalman filter only, by at least 8.9%, 27.6% and 219.5% when compared to the results obtained using a NCDF only and by at least 152.3%, 1278% and 742% when compared to the results obtained using a median filter only for all SNRs considered in this study.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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A novel filter for accurate estimation of fluid pressure and fluid velocity using poroelastography

Islam

Righetti

2018

Computers in Biology and Medicine

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“…Moreover, the shear wave velocity evaluated shear modulus values are highly angle dependent in FDM printed layer objects, which has also barely been discussed in the existing literature. The elastography technique [ 29 ] is another conventional ultrasound technique that usually required external stress source [ 30 ] or periodical force (vibration) [ 31 ] to provide measurable elastic deformation using ultrasound. Thus, it is more suitable for soft material, such as ABS and PLA.…”

Section: Introductionmentioning

confidence: 99%

Novel 2D Dynamic Elasticity Maps for Inspection of Anisotropic Properties in Fused Deposition Modeling Objects

et al. 2020

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In this study, a novel ultrasonic non-destructive and non-invasive elastography method was introduced and demonstrated to evaluate the mechanical properties of fused deposition modeling 3D printed objects using two-dimensional dynamical elasticity mapping. Based on the recently investigated dynamic bulk modulus and effective density imaging technique, an angle-dependent dynamic shear modulus measurement was performed to extract the dynamic Young’s modulus distribution of the FDM structures. The elastographic image analysis demonstrated the presence of anisotropic dynamic shear modulus and dynamic Young’s modulus existing in the fused deposition modeling 3D printed objects. The non-destructive method also differentiated samples with high contrast property zones from that of low contrast property regions. The angle-dependent elasticity contrast behavior from the ultrasonic method was compared with conventional and static tensile tests characterization. A good correlation between the nondestructive technique and the tensile test measurements was observed.

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“…Its basic assumption is voxel and pixel conservation. This algorithm assumes that no obvious change occurs in the color of an object between two sequential frames [3] [4]. From this idea, an image constraint equation can be obtained.…”

Section: Introductionmentioning

confidence: 99%

Research on HS Optical Flow Algorithm Based on Motion Estimation Optimization

Wei¹,

Zou²,

Bo³

et al. 2018

JCC

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The amount of computation for detecting moving objects by the optical flow algorithm is large. The optical flow information in the smooth region cannot be detected by the optical flow algorithm, and it is susceptible to noise in a complicated environment. In this study, an optimized Horn-Schunck (HS) optical flow algorithm based on motion estimation is proposed. To detect Harris corner in the image, the proposed algorithm is used in combination with the motion estimation algorithm based on macroblock to determine the region of interest (ROI) [1]. The ROI is then used as the initial motion vector for HS calculation to obtain the optical flow information. Filtering is conducted to eliminate the background noise. Experimental result shows that the application of the proposed algorithm improves the computational speed, avoids the interference of background noise, and enhances the robustness of HS. Moreover, the algorithm solves the problem rooted in the inability of the HS algorithm to detect the smooth part of optical flow information [2].

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A New Method for Estimating the Effective Poisson’s Ratio in Ultrasound Poroelastography

Cited by 41 publications

References 65 publications

A novel filter for accurate estimation of fluid pressure and fluid velocity using poroelastography

A novel filter for accurate estimation of fluid pressure and fluid velocity using poroelastography

Novel 2D Dynamic Elasticity Maps for Inspection of Anisotropic Properties in Fused Deposition Modeling Objects

Research on HS Optical Flow Algorithm Based on Motion Estimation Optimization

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