title: On the advantages of imaging the axial-shear strain component of the total shear strain in breast tumors.
abstract: Axial-shear strain elastography was described recently as a method to visualize the state of bonding at an inclusion boundary. Although total shear strain elastography was initially proposed for this purpose, it did not evolve beyond the initial reported finite element model (FEM) and simulation studies. One of the major reasons for this was the practical limitation in estimating the tissue motion perpendicular (lateral) to the ultrasound (US) beam as accurately as the motion along the US beam (axial). Nevertheless, there has been a sustained effort in developing methods to improve the lateral motion tracking accuracy and thereby obtain better quality total shear strain elastogram (TSSE). We hypothesize that in some cases, even if good quality TSSE becomes possible, it may still be advantageous to utilize only the axial-shear strain (one of the components of the total shear strain) elastogram (ASSE). Specifically, we show through FEM and corroborating tissue-mimicking gelatin phantom experiments that the unique "fill-in" discriminant feature that was introduced recently for asymmetric breast lesion classification is depicted only in the ASSE and not in the TSSE. Note that the presence or conspicuous absence of this feature in ASSE was shown to characterize asymmetric inclusions' boundaries as either loosely-bonded or firmly-bonded to the surrounding, respectively. This might be an important observation because the literature suggests that benign breast lesions tend to be loosely-bonded, while malignant tumors are usually firmly-bonded. The results from the current study demonstrate that the use of shear strain lesion "fill-in" as a discriminant feature in the differentiation between asymmetric malignant and benign breast lesions is only possible when using the ASSEs and not the TSSEs.
authors.affiliation: Department of Diagnostic and Interventional Imaging, Ultrasonics and Elastographics Laboratory, The University of Texas Medical School, Houston, TX, USA. Arun.K.Thittai@uth.tmc.edu
authors.forename: Arun K
authors.initials: AK
authors.lastname: Thittai
authors.forename: Belfor
authors.initials: B
authors.lastname: Galaz
authors.forename: Jonathan
authors.initials: J
authors.lastname: Ophir
mesh_terms: D000465:Algorithms; D016880:Anisotropy; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D003198:Computer Simulation; D055119:Elastic Modulus; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008954:Models, Biological; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D033081:Shear Strength; D016217:Ultrasonography, Mammary / Q000379:methods*