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Proceedings ArticleDOI

Rotation elastogram: a novel method to visualize local rigid body rotation under quasi-static compression

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TLDR
A spatial compounding approach is utilized and significantly-improved rotation elastogram is demonstrated using this technique, demonstrating the improvement in the lateral motion tracking accuracy and its effects on the quality of rotational elastograms.
Abstract
During manual palpation of breast masses, the perception of its stiffness and slipperiness are the two commonly used information by the physician. In order to reliably and quantitatively obtain this information several non-invasive elastography techniques have been developed that seek to provide an image of the underlying mechanical properties, mostly stiffness-related. Very few approaches have visualized the "slip" at the lesion-background boundary that only occurs for a loosely-bonded benign lesion. It has been shown that axial-shear strain distribution provides information about underlying slip. One such feature, referred to as "fill-in" was interpreted as a surrogate of the rotation undergone by an asymmetrically-oriented-loosely bonded-benign-lesion under quasi-static compression. However, imaging and direct visualization of the rotation itself has not been addressed yet. In order to accomplish this, the quality of lateral displacement estimation needs to be improved. In this simulation study, we utilize spatial compounding approach and assess the feasibility to obtain good quality rotation elastogram. The angular axial and lateral displacement estimates were obtained at different insonification angles from a phantom containing an elliptical inclusion oriented at 45°, subjected to 1% compression from the top. A multilevel 2D-block matching algorithm was used for displacement tracking and 2D-least square compounding of angular axial and lateral displacement estimates was employed. By varying the maximum steering angle and incremental angle, the improvement in the lateral motion tracking accuracy and its effects on the quality of rotational elastogram were evaluated. Results demonstrate significantly-improved rotation elastogram using this technique.

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Citations
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Application of Synthetic Aperture Imaging to Non-Invasive Vascular Elastography

TL;DR: In this article, the authors investigated the feasibility of using synthetic aperture (SA) imaging to accurately estimate the 2D displacement vector, thereby enhancing the performance of NIVE, and demonstrated that as few as eight transmit elements can generate strain elastograms with a minimal loss of image quality.
Journal ArticleDOI

Importance of the Ultrasound Probe Angle on the Rotation Fill-in Signature in Ultrasound Axial-Shear Strain Imaging.

TL;DR: An experimental and numerical study of the rotation fill-in signature as a function of the probe's tilt angle is presented, arguing that the formulation of a tumor model with a bonding condition dependence may have potential implications in correct tumor classification.
References
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Journal ArticleDOI

Visualization of bonding at an inclusion boundary using axial-shear strain elastography: a feasibility study.

TL;DR: The overall hypothesis of this work is that the pattern of axial-shear strain distribution around the inclusion/background interface is completely determined by the bonding at the interface after normalization for inclusion size and applied strain levels, and that it is feasible to extract certain features from the axial, shear strain elastograms to quantify this pattern.
Journal ArticleDOI

Ultrasound tissue displacement imaging with application to breast cancer

TL;DR: The local displacement response of tissues surrounding malignant and benign breast masses is compared, testing the hypothesis that altered mechanical properties may result in motion signatures for many soft tissue tumors relative to their host tissue.
Journal ArticleDOI

Normal and shear strain estimation using beam steering on linear-array transducers

TL;DR: Initial results using beam steering on a linear array transducer attached to a commercial scanner to acquire echo signals for estimating 2-D displacement vectors are presented and features on shear strain images generated for the inclusion phantom agree with those predicted using FEA analysis.
Proceedings ArticleDOI

Estimation of displacement vectors and strain tensors in elastography using angular insonifications

TL;DR: In this article, a new method for estimating all the components of the tissue displacement vector following a quasi-static compression was proposed, which uses displacements estimated from radiofrequency echo-signals along multiple ultrasound beam insonification directions.
Journal ArticleDOI

Quantitative evaluation of real-time ultrasound features of the breast.

TL;DR: The long term aim is to create an environment suitable for the use of multivariate statistical methods systematically to evaluate ultrasound interpretive criteria and diagnostic performance in relation to factors such as scanning instrumentation and other diagnostic techniques.
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