Literature DB >> 29505408

Realistic Vendor-Specific Synthetic Ultrasound Data for Quality Assurance of 2-D Speckle Tracking Echocardiography: Simulation Pipeline and Open Access Database.

Martino Alessandrini, Bidisha Chakraborty, Brecht Heyde, Olivier Bernard, Mathieu De Craene, Maxime Sermesant, Jan D'Hooge.   

Abstract

Two-dimensional (2-D) echocardiography is the modality of choice in the clinic for the diagnosis of cardiac disease. Hereto, speckle tracking (ST) packages complement visual assessment by the cardiologist by providing quantitative diagnostic markers of global and regional cardiac function (e.g., displacement, strain, and strain-rate). Yet, the reported high vendor-dependence between the outputs of different ST packages raises clinical concern and hampers the widespread dissemination of the ST technology. In part, this is due to the lack of a solid commonly accepted quality assurance pipeline for ST packages. Recently, we have developed a framework to benchmark ST algorithms for 3-D echocardiography by using realistic simulated volumetric echocardiographic recordings. Yet, 3-D echocardiography remains an emerging technology, whereas the compelling clinical concern is, so far, directed to the standardization of 2-D ST only. Therefore, by building upon our previous work, we present in this paper a pipeline to generate realistic synthetic sequences for 2-D ST algorithms. Hereto, the synthetic cardiac motion is obtained from a complex electromechanical heart model, whereas realistic vendor-specific texture is obtained by sampling a real clinical ultrasound recording. By modifying the parameters in our pipeline, we generated an open-access library of 105 synthetic sequences encompassing: 1) healthy and ischemic motion patterns; 2) the most common apical probe orientations; and 3) vendor-specific image quality from seven different systems. Ground truth deformation is also provided to allow performance analysis. The application of the provided data set is also demonstrated in the benchmarking of a recent academic ST algorithm.

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Year:  2018        PMID: 29505408     DOI: 10.1109/TUFFC.2017.2786300

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  5 in total

1.  GPU-Based Simulation of Echocardiography Volumes Using Quantitative Fiber-Angle-to-Backscatter Measurements.

Authors:  Megan Yociss; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2021-02-24

2.  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

3.  An optimisation-based iterative approach for speckle tracking echocardiography.

Authors:  Neda Azarmehr; Xujiong Ye; Joseph D Howes; Benjamin Docking; James P Howard; Darrel P Francis; Massoud Zolgharni
Journal:  Med Biol Eng Comput       Date:  2020-04-07       Impact factor: 2.602

4.  A method for direct estimation of left ventricular global longitudinal strain rate from echocardiograms.

Authors:  Brett A Meyers; Melissa C Brindise; Shelby Kutty; Pavlos P Vlachos
Journal:  Sci Rep       Date:  2022-03-07       Impact factor: 4.379

5.  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

  5 in total

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