Shear Wave Speed estimator using Continuous Wavelet Transform for Crawling Wave Sonoelastography

Sebastian Merino, Stefano E. Romero, Eduardo A. Gonzalez, Benjamin Castaneda

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

Crawling Wave Sonoelastography (CWS) is an elastography ultrasound-based imaging approach that provides tissue stiffness information through the calculation of Shear Wave Speed (SWS). Many SWS estimators have been developed; however, they report important limitations such as the presence of artifacts, border effects or high computational cost. In addition, these techniques require a moving interference pattern which could be challenging for in vivo applications. In this study, a new estimator based on the Continuous Wavelet Transform (CWT) is proposed. This allows the generation of a SWS image for every sonoelasticity video frame. Testing was made with data acquired from experiments conducted on a gelatin phantom with a circular inclusion. It was excited with two vibration sources placed at both sides with frequencies ranging from 200 Hz to 360 Hz in steps of 20 Hz. Results show small variation of the SWS image across time. Additionally, images were compared with the Phase Derivative method (PD) and the Regularized Wavelength Average Velocity Estimator (R-WAVE). Similar SWS values were obtained for the three estimators within a certain region of interest in the inclusion (At 360 Hz, CWT: 5.01±0.2m/s, PD: 5.11±0.28m/s, R-WAVE: 4.51±0.62m/s) and in the background (At 360 Hz, CWT: 3.67±0.15m/s, PD: 3.69±0.23m/s, R-WAVE: 3.58±0.24m/s). CWT also presented the lowest coefficient of variation and the highest contrast-to-noise ratio for most frequencies, which allows better discrimination between regions.Clinical relevance - This study presents a new Shear Wave Speed estimator for Crawling Wave Sonoelastography, which can be useful to characterize soft tissue and detect lesions.

Idioma originalInglés
Título de la publicación alojada43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas3994-3997
Número de páginas4
ISBN (versión digital)9781728111797
DOI
EstadoPublicada - 2021
Evento43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 - Virtual, Online, México
Duración: 1 nov. 20215 nov. 2021

Serie de la publicación

NombreProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (versión impresa)1557-170X

Conferencia

Conferencia43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021
País/TerritorioMéxico
CiudadVirtual, Online
Período1/11/215/11/21

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