Literature DB >> 27740479

Diverging Wave Volumetric Imaging Using Subaperture Beamforming.

Pedro Santos, Geir Ultveit Haugen, Lasse Lovstakken, Eigil Samset, Jan D'hooge.   

Abstract

Several clinical settings could benefit from 3-D high frame rate (HFR) imaging and, in particular, HFR 3-D tissue Doppler imaging (TDI). To date, the proposed methodologies are based mostly on experimental ultrasound platforms, making their translation to clinical systems nontrivial as these have additional hardware constraints. In particular, clinically used 2-D matrix array transducers rely on subaperture (SAP) beamforming to limit cabling between the ultrasound probe and the back-end console. Therefore, this paper is aimed at assessing the feasibility of HFR 3-D TDI using diverging waves (DWs) on a clinical transducer with SAP beamforming limitations. Simulation studies showed that the combination of a single DW transmission with SAP beamforming results in severe imaging artifacts due to grating lobes and reduced penetration. Interestingly, a promising tradeoff between image quality and frame rate was achieved for scan sequences with a moderate number of transmit beams. In particular, a sparse sequence with nine transmissions showed good imaging performance for an imaging sector of 70 °×70 ° at volume rates of approximately 600 Hz. Subsequently, this sequence was implemented in a clinical system and TDI was recorded in vivo on healthy subjects. Velocity curves were extracted and compared against conventional TDI (i.e., with focused transmit beams). The results showed similar velocities between both beamforming approaches, with a cross-correlation of 0.90 ± 0.11 between the traces of each mode. Overall, this paper indicates that HFR 3-D TDI is feasible in systems with clinical 2-D matrix arrays, despite the limitations of SAP beamforming.

Mesh:

Year:  2016        PMID: 27740479     DOI: 10.1109/TUFFC.2016.2616172

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


  5 in total

1.  4D cardiac electromechanical activation imaging.

Authors:  Julien Grondin; Dafang Wang; Christopher S Grubb; Natalia Trayanova; Elisa E Konofagou
Journal:  Comput Biol Med       Date:  2019-08-06       Impact factor: 4.589

2.  A Reduced-Wire ICE Catheter ASIC With Tx Beamforming and Rx Time-Division Multiplexing.

Authors:  Gwangrok Jung; Coskun Tekes; M Wasequr Rashid; Thomas M Carpenter; David Cowell; Steven Freear; F Levent Degertekin; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2018-11-16       Impact factor: 3.833

3.  Sidelobe reduction for plane wave compounding with a limited frame number.

Authors:  Wei Guo; Yuanyuan Wang; Guoqing Wu; Jinhua Yu
Journal:  Biomed Eng Online       Date:  2018-07-13       Impact factor: 2.819

4.  Experimental 3-D Ultrasound Imaging with 2-D Sparse Arrays using Focused and Diverging Waves.

Authors:  Emmanuel Roux; François Varray; Lorena Petrusca; Christian Cachard; Piero Tortoli; Hervé Liebgott
Journal:  Sci Rep       Date:  2018-06-14       Impact factor: 4.379

5.  Deep Learning to Obtain Simultaneous Image and Segmentation Outputs From a Single Input of Raw Ultrasound Channel Data.

Authors:  Arun Asokan Nair; Kendra N Washington; Trac D Tran; Austin Reiter; Muyinatu A Lediju Bell
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2020-11-24       Impact factor: 2.725

  5 in total

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