title: An autocorrelation-based method for improvement of sub-pixel displacement estimation in ultrasound strain imaging.
abstract: In ultrasound strain and elasticity imaging, an accurate and cost-effective sub-pixel displacement estimator is required because strain/elasticity imaging quality relies on the displacement SNR, which can often be higher if more computational resources are provided. In this paper, we introduce an autocorrelation-based method to cost-effectively improve subpixel displacement estimation quality. To quantitatively evaluate the performance of the autocorrelation method, simulated and tissue-mimicking phantom experiments were performed. The computational cost of the autocorrelation method is also discussed. The results of our study suggest the autocorrelation method can be used for a real-time elasticity imaging system.
authors.forename: Seungsoo
authors.initials: S
authors.lastname: Kim
authors.forename: Salavat R
authors.initials: SR
authors.lastname: Aglyamov
authors.forename: Suhyun
authors.initials: S
authors.lastname: Park
authors.forename: Matthew
authors.initials: M
authors.lastname: O'Donnell
authors.forename: Stanislav Y
authors.initials: SY
authors.lastname: Emelianov
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D004548:Elasticity; D054459:Elasticity Imaging Techniques / Q000379:methods*; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D014465:Ultrasonics / Q000295:instrumentation; D014463:Ultrasonography / Q000379:methods*