title: Fast axial and lateral displacement estimation in myocardial elastography based on RF signals with predictions.
abstract: Myocardial elastography (ME) is a strain imaging technique used to diagnose myocardial diseases. Axial and lateral displacement calculations are pre-conditions of strain image acquisition in ME. W.N. Lee et al. proposed a normalized cross-correlation (NCC) and recorrelation method to obtain both axial and lateral displacements in ME. However, this method is not noise-resistant and of high computational cost. This paper proposes a predicted fast NCC algorithm based on W.N. Lee's method, with the additions of sum-table NCC and a displacement prediction algorithm, to obtain efficient and accurate axial and lateral displacements. Compared to experiments based on the NCC and recorrelation methods, the results indicate that the proposed NCC method is much faster (predicted fast NCC method, 69.75s for a 520×260 image; NCC and recorrelation method, 1092.25s for a 520×260 image) and demonstrates better performance in eliminating decorrelation noise (SNR of the axial and lateral strain using the proposed method, 5.87 and 1.25, respectively; SNR of the axial and lateral strain using the NCC and recorrelation method, 1.48 and 1.09, respectively).
authors.affiliation: Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China.
authors.forename: Yaonan
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China.
authors.forename: Tingting
authors.initials: T
authors.lastname: Sun
authors.affiliation: Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China.
authors.forename: Yueyang
authors.initials: Y
authors.lastname: Teng
authors.affiliation: Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China.
authors.forename: Hong
authors.initials: H
authors.lastname: Li
authors.affiliation: Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Kang
mesh_terms: D000465:Algorithms; D004452:Echocardiography / Q000379:methods*; D055119:Elastic Modulus / Q000502:physiology; D054459:Elasticity Imaging Techniques / Q000379:methods*; D006321:Heart / Q000502:physiology*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D009038:Motion; D009068:Movement / Q000502:physiology*; D011846:Radio Waves; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013314:Stress, Mechanical
keywords: Myocardial elastography (ME); displacement estimation; normalized cross-correlation; prediction; recorrelation