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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

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TL;DR: A new method for estimating all the components of the tissue displacement vector following a quasi-static compression is described and the utility of this technique for the computation of the normal and shear strain tensors is demonstrated.
Journal ArticleDOI

Breast tumor classification using axial shear strain elastography: a feasibility study

TL;DR: A feasibility study on the utility of the axial-shear strain elastograms in the classification of in vivo breast tumor as being benign or malignant suggests that for the discriminant feature value of 0.46, the number of unnecessary biopsies could be reduced by 56.3% without compromising on sensitivity and on negative predictive value (NPV).
Journal ArticleDOI

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TL;DR: This study investigates beam steering at maximally three different angles to determine the full 2D strain tensor, and outperforms conventional methods that do not use beam steering.
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