Speckle tracking accuracy enhancement by temporal super-resolution of three-dimensional echocardiography images

Mohammad Jalali, Hamid Behnam

DOI: 10.4103/jmss.JMSS_26_20

Abstract


Background: Speckle tracking has always been a challenging issue in echocardiography images due to the lowcontrast and noisy nature of ultrasonic imaging modality. While in ultrasound imaging, framerate is limited by image size and sound speed in tissue, speckle tracking results get worse inthree-dimensional imaging due to its lower frame rate. Therefore, numerous techniques have beenreported to overcome this limitation and enhance tracking accuracy. Methods: In this work, we have proposedto increase the frame rate temporally for a sequence of three-dimensional (3D) echocardiographyframes to make tracking more accurate. To increase the number of frames, cubic B-spline is usedto interpolate between intensity variation time curves extracted from every single voxel in theimage during the cardiac cycle. We have shown that the frame rate increase will result in trackingaccuracy improvement. Results: To prove the efficiency of the proposed method, numerical evaluation metricsfor tracking are reported to make a comparison between high temporal resolution sequences andlow temporal resolution sequences. Anatomical affine optical flow is selected as the state-of-the-artspeckle tracking method, and a 3D echocardiography dataset is used to evaluate the proposedmethod. Conclusion: Results show that it is beneficial for speckle tracking to perform on temporally condensedframes rather than ordinary clinical 3D echocardiography images. Normalized mean enhancementvalues for mean absolute error, Hausdorff distance, and Dice index for all cases and all frames are0.44 ± 0.09, 0.42± 0.09, and 0.36 ± 0.06, respectively.

Keywords


Cubic B-spline interpolation, speckle tracking, temporal super-resolution, three-dimensional echocardiography

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References


Alessandrini M, Heyde B, Queiros S, Cygan S, Zontak M, Somphone O, et al. Detailed evaluation of five 3D speckle tracking algorithms using synthetic echocardiographic recordings. IEEE Trans Med Imaging 2016;35:1915-26.

Crosby J, Amundsen BH, Hergum T, Remme EW, Langeland S, Torp H. 3-D speckle tracking for assessment of regional left ventricular function. Ultrasound Med Biol 2009;35:458-71.

Duan Q, Angelini ED, Herz SL. Ingrassia C, Costa KD, Holmes JW, et al. Region-based endocardium tracking on real-time three-dimensional ultrasound. Ultrasound Med Biol 2009;35:256-65.

Alessandrini M, Liebgott H, Barbosa D, Bernard O. Monogenic Phase Based Optical Flow Computation for Myocardial Motion Analysis in 3D Echocardiography. In: International Workshop on Statistical Atlases and Computational Models of the Heart. Berlin, Heidelberg: Springer; 2012. p. 159-68.

Horn BK, Schunck BG. Determining Optical Flow. In Techniques and Applications of Image Understanding. International Society for Optics and Photonics; 1981:281. p. 319-31.

Lucas BD, Kanade T. An Iterative Image Registration Technique with an Application to Stereo Vision; 1981.

Mukherjee R, Sprouse C, Pinheiro A, Abraham T, Burlina P. Computing myocardial motion in 4-dimensional echocardiography. Ultrasound Med Biol 2012;38:1284-97.

Heyde B, Alessandrini M, Hermans J, Barbosa D, Claus P, D'hooge J. Anatomical image registration using volume conservation to assess cardiac deformation from 3D ultrasound recordings. IEEE Trans Med Imaging 2016;35:501-11.

Heyde B, Bouchez S, Thieren S, Vandenheuvel M, Jasaityte R, Barbosa D, et al. Elastic image registration to quantify 3-D regional myocardial deformation from volumetric ultrasound: Experimental validation in an animal model. Ultrasound Med Biol 2013;39:1688-97.

Zhu Y, Papademetris X, Sinusas AJ, Duncan JS. A coupled deformable model for tracking myocardial borders from real-time echocardiography using an incompressibility constraint. Med Image Anal 2010;14:429-48.

Elen A, Choi HF, Loeckx D, Gao H, Claus P, Suetens P, et al. Three-dimensional cardiac strain estimation using spatio-temporal elastic registration of ultrasound images: A feasibility study. IEEE Trans Med Imaging 2008;27:1580-91.

Queiros S, Morais P, Barbosa D, Fonseca JC, Vilaca JL, D'Hooge J. MITT: Medical Image Tracking Toolbox. IEEE Trans Med Imaging 2018;37:2547-57.

Queirós S, Vilaça JL, Morais P, Fonseca JC, D'hooge J, Barbosa D. Fast left ventricle tracking using localized anatomical affine optical flow. Int J Numer Method Biomed Eng 2017;33:e2871.

Jalali M, Behnam H, Davoodi F, Shojaeifard M. Temporal super-resolution of 2D/3D echocardiography using cubic B-spline interpolation. Biomed Signal Process Control 2020;58:101868.

Briand T, Monasse P. Theory and practice of image B-spline interpolation. Image Process Line 2018;8:99-141.


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