Literature DB >> 23674439

3D strain assessment in ultrasound (Straus): a synthetic comparison of five tracking methodologies.

M De Craene1, S Marchesseau, B Heyde, H Gao, M Alessandrini, O Bernard, G Piella, A R Porras, L Tautz, A Hennemuth, A Prakosa, H Liebgott, O Somphone, P Allain, S Makram Ebeid, H Delingette, M Sermesant, J D'hooge, E Saloux.   

Abstract

This paper evaluates five 3D ultrasound tracking algorithms regarding their ability to quantify abnormal deformation in timing or amplitude. A synthetic database of B-mode image sequences modeling healthy, ischemic and dyssynchrony cases was generated for that purpose. This database is made publicly available to the community. It combines recent advances in electromechanical and ultrasound modeling. For modeling heart mechanics, the Bestel-Clement-Sorine electromechanical model was applied to a realistic geometry. For ultrasound modeling, we applied a fast simulation technique to produce realistic images on a set of scatterers moving according to the electromechanical simulation result. Tracking and strain accuracies were computed and compared for all evaluated algorithms. For tracking, all methods were estimating myocardial displacements with an error below 1 mm on the ischemic sequences. The introduction of a dilated geometry was found to have a significant impact on accuracy. Regarding strain, all methods were able to recover timing differences between segments, as well as low strain values. On all cases, radial strain was found to have a low accuracy in comparison to longitudinal and circumferential components.

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Year:  2013        PMID: 23674439     DOI: 10.1109/TMI.2013.2261823

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  7 in total

1.  Simulating cardiac ultrasound image based on MR diffusion tensor imaging.

Authors:  Xulei Qin; Silun Wang; Ming Shen; Guolan Lu; Xiaodong Zhang; Mary B Wagner; Baowei Fei
Journal:  Med Phys       Date:  2015-09       Impact factor: 4.071

Review 2.  Strain, strain rate, torsion, and twist: echocardiographic evaluation.

Authors:  Anders Opdahl; Thomas Helle-Valle; Helge Skulstad; Otto A Smiseth
Journal:  Curr Cardiol Rep       Date:  2015-03       Impact factor: 2.931

3.  Segmental Analysis of Cardiac Short-Axis Views Using Lagrangian Radial and Circumferential Strain.

Authors:  Chi Ma; Xiao Wang; Tomy Varghese
Journal:  Ultrason Imaging       Date:  2015-11-16       Impact factor: 1.578

Review 4.  Harnessing Machine Intelligence in Automatic Echocardiogram Analysis: Current Status, Limitations, and Future Directions.

Authors:  Ghada Zamzmi; Li-Yueh Hsu; Wen Li; Vandana Sachdev; Sameer Antani
Journal:  IEEE Rev Biomed Eng       Date:  2021-01-22

5.  Myocardial strain imaging: review of general principles, validation, and sources of discrepancies.

Authors:  M S Amzulescu; M De Craene; H Langet; A Pasquet; D Vancraeynest; A C Pouleur; J L Vanoverschelde; B L Gerber
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2019-06-01       Impact factor: 6.875

6.  Spatiotemporal Bayesian Regularization for Cardiac Strain Imaging: Simulation and In Vivo Results.

Authors:  Rashid Al Mukaddim; Nirvedh H Meshram; Ashley M Weichmann; Carol C Mitchell; Tomy Varghese
Journal:  IEEE Open J Ultrason Ferroelectr Freq Control       Date:  2021-11-22

7.  Evaluation of strain averaging area and strain estimation errors in a spheroidal left ventricular model using synthetic image data and speckle tracking.

Authors:  Jakub Żmigrodzki; Szymon Cygan; Krzysztof Kałużyński
Journal:  BMC Med Imaging       Date:  2021-06-30       Impact factor: 1.930

  7 in total

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