Cardiovascular diseases, the leading cause of death in the world, are often associated with the dysfunction of the left ventricle. Even if, in clinical practice, the myocardial function is often assessed through visual wall motion scoring on B-mode images, quantitative techniques have been introduced, e.g. ultrasound tissue Doppler imaging (TDI). However, this technique suffers from the limited frame rate of currently available imaging techniques that needs to be balanced with the field of view. High frame rate (HFR) cardiac imaging has been recently tested off-line by simultaneously transmitting multiple focused beams into different directions and acquiring raw channel data into a PC. Several image lines were then reconstructed from the echoes of each transmission event. The same approach has been used to increase the TDI frame rate without restricting the field of view. This paper demonstrates the real-time feasibility of multiline transmission and acquisition methods for both HFR cardiac B-Mode and tissue Doppler imaging. These approaches have been implemented on the ULA-OP 256 research scanner, by taking care that the related resources were optimally exploited for these new applications. The obtainable performance in terms of image quality and frame rate has also been investigated. Experiments performed with a 128-element phased array probe show, for the first time, that real-time B-mode imaging is feasible at up to 1150 Hz without significant reduction in image quality or field-of-view. The implementation of a real-time TDI algorithm allowed obtaining TDI images with a frame rate of 288 Hz for a 90°-wide field-of view. Finally, in-vivo examples demonstrate the feasibility and the suitability of the method in clinical studies.

Real-time high frame rate cardiac B-Mode and tissue Doppler imaging based on multiline transmission and multiline acquisition / Ramalli, Alessandro; Dallai, Alessandro; Guidi, Francesco; Bassi, Luca; Boni, Enrico; Tong, Ling; Fradella, Giuseppe; Drhooge, Jan; Tortoli, Piero. - In: IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL. - ISSN 0885-3010. - ELETTRONICO. - 65:(2018), pp. 2030-2041. [10.1109/TUFFC.2018.2869473]

Real-time high frame rate cardiac B-Mode and tissue Doppler imaging based on multiline transmission and multiline acquisition

Ramalli, Alessandro
;
Dallai, Alessandro
Membro del Collaboration Group
;
Guidi, Francesco
Membro del Collaboration Group
;
Bassi, Luca
Membro del Collaboration Group
;
Boni, Enrico
Methodology
;
Tortoli, Piero
Supervision
2018

Abstract

Cardiovascular diseases, the leading cause of death in the world, are often associated with the dysfunction of the left ventricle. Even if, in clinical practice, the myocardial function is often assessed through visual wall motion scoring on B-mode images, quantitative techniques have been introduced, e.g. ultrasound tissue Doppler imaging (TDI). However, this technique suffers from the limited frame rate of currently available imaging techniques that needs to be balanced with the field of view. High frame rate (HFR) cardiac imaging has been recently tested off-line by simultaneously transmitting multiple focused beams into different directions and acquiring raw channel data into a PC. Several image lines were then reconstructed from the echoes of each transmission event. The same approach has been used to increase the TDI frame rate without restricting the field of view. This paper demonstrates the real-time feasibility of multiline transmission and acquisition methods for both HFR cardiac B-Mode and tissue Doppler imaging. These approaches have been implemented on the ULA-OP 256 research scanner, by taking care that the related resources were optimally exploited for these new applications. The obtainable performance in terms of image quality and frame rate has also been investigated. Experiments performed with a 128-element phased array probe show, for the first time, that real-time B-mode imaging is feasible at up to 1150 Hz without significant reduction in image quality or field-of-view. The implementation of a real-time TDI algorithm allowed obtaining TDI images with a frame rate of 288 Hz for a 90°-wide field-of view. Finally, in-vivo examples demonstrate the feasibility and the suitability of the method in clinical studies.
2018
65
2030
2041
Ramalli, Alessandro; Dallai, Alessandro; Guidi, Francesco; Bassi, Luca; Boni, Enrico; Tong, Ling; Fradella, Giuseppe; Drhooge, Jan; Tortoli, Piero
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1138480
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