Ultrasound 2D strain estimator based on image registration for ultrasound elastography

Xiaofeng Yang; Mylin Torres; Stephanie Kirkpatrick; Walter J. Curran; Tian Liu

doi:10.1117/12.2043865

20 March 2014 Ultrasound 2D strain estimator based on image registration for ultrasound elastography

Xiaofeng Yang, Mylin Torres, Stephanie Kirkpatrick, Walter J. Curran, Tian Liu

Proceedings Volume 9040, Medical Imaging 2014: Ultrasonic Imaging and Tomography; 904018 (2014) https://doi.org/10.1117/12.2043865
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

In this paper, we present a new approach to calculate 2D strain through the registration of the pre- and post-compression (deformation) B-mode image sequences based on an intensity-based non-rigid registration algorithm (INRA). Compared with the most commonly used cross-correlation (CC) method, our approach is not constrained to any particular set of directions, and can overcome displacement estimation errors introduced by incoherent motion and variations in the signal under high compression. This INRA method was tested using phantom and in vivo data. The robustness of our approach was demonstrated in the axial direction as well as the lateral direction where the standard CC method frequently fails. In addition, our approach copes well under large compression (over 6%). In the phantom study, we computed the strain image under various compressions and calculated the signal-to-noise (SNR) and contrast-to-noise (CNS) ratios. The SNR and CNS values of the INRA method were much higher than those calculated from the CC-based method. Furthermore, the clinical feasibility of our approach was demonstrated with the in vivo data from patients with arm lymphedema.

Citation Download Citation

Xiaofeng Yang, Mylin Torres, Stephanie Kirkpatrick, Walter J. Curran, and Tian Liu "Ultrasound 2D strain estimator based on image registration for ultrasound elastography", Proc. SPIE 9040, Medical Imaging 2014: Ultrasonic Imaging and Tomography, 904018 (20 March 2014); https://doi.org/10.1117/12.2043865

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