Literature DB >> 22112791

Slip elastography: a novel method for visualising and characterizing adherence between two surfaces in contact.

Aabir Chakraborty1, Jeffrey C Bamber, Neil L Dorward.   

Abstract

Identification of the anatomical location and mechanical properties such as adherence at the tissue tumour interface may be of clinical benefit in determination of tumour resectability and prognosis. There are currently no imaging modalities in routine clinical practice that can provide this information. This paper presents the development of a new imaging technique based on ultrasound elastography, called slip elastography, for determination of the anatomical location and measurement of the adherence between two surfaces. The theoretical basis of slip and its definition in relation to shear are described. In vitro testing with gelatine phantoms to determine the optimal parameters for shear strain estimation and slip boundary measurement and to test reliability are also described. The results suggest that slip elastography can reliably identify the anatomical location of a slip boundary and can measure the externally applied axial force required to initiate slip at that boundary in vitro. The vector based shear strain estimator was the most robust and worked with minimal angular dependence with minimal non-slip shearing artefact.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22112791     DOI: 10.1016/j.ultras.2011.07.001

Source DB:  PubMed          Journal:  Ultrasonics        ISSN: 0041-624X            Impact factor:   2.890


  3 in total

1.  Higher-Resolution Magnetic Resonance Elastography in Meningiomas to Determine Intratumoral Consistency.

Authors:  Joshua D Hughes; Nikoo Fattahi; J Van Gompel; Arvin Arani; Fredric Meyer; Giuseppe Lanzino; Michael J Link; Richard Ehman; John Huston
Journal:  Neurosurgery       Date:  2015-10       Impact factor: 4.654

2.  Further characterization of changes in axial strain elastograms due to the presence of slippery tumor boundaries.

Authors:  Christopher Uff; Leo Garcia; Jeremie Fromageau; Aabir Chakraborty; Neil Dorward; Jeffrey Bamber
Journal:  J Med Imaging (Bellingham)       Date:  2018-02-05

3.  Slip interface imaging based on MR-elastography preoperatively predicts meningioma-brain adhesion.

Authors:  Ziying Yin; Joshua D Hughes; Joshua D Trzasko; Kevin J Glaser; Armando Manduca; Jamie Van Gompel; Michael J Link; Anthony Romano; Richard L Ehman; John Huston
Journal:  J Magn Reson Imaging       Date:  2017-02-14       Impact factor: 4.813

  3 in total

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