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For: Polichetti M, Varray F, Gilles B, Bera JC, Nicolas B. Use of the Cross-Spectral Density Matrix for Enhanced Passive Ultrasound Imaging of Cavitation. IEEE Trans Ultrason Ferroelectr Freq Control 2021;68:910-925. [PMID: 33079648 DOI: 10.1109/tuffc.2020.3032345] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]

For:	Polichetti M, Varray F, Gilles B, Bera JC, Nicolas B. Use of the Cross-Spectral Density Matrix for Enhanced Passive Ultrasound Imaging of Cavitation. IEEE Trans Ultrason Ferroelectr Freq Control 2021;68:910-925. [PMID: 33079648 DOI: 10.1109/tuffc.2020.3032345] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]

Number

Cited by Other Article(s)

Lyons B, Balkaran JPR, Dunn-Lawless D, Lucian V, Keller SB, O’Reilly CS, Hu L, Rubasingham J, Nair M, Carlisle R, Stride E, Gray M, Coussios C. Sonosensitive Cavitation Nuclei-A Customisable Platform Technology for Enhanced Therapeutic Delivery. Molecules 2023;28:7733. [PMID: 38067464 PMCID: PMC10708135 DOI: 10.3390/molecules28237733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 11/14/2023] [Accepted: 11/16/2023] [Indexed: 12/18/2023] Open

Affiliation(s)

Brian Lyons Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK; (J.P.R.B.); (D.D.-L.); (V.L.); (S.B.K.); (L.H.); (J.R.); (M.N.); (R.C.); (E.S.); (M.G.)
Joel P. R. Balkaran Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK; (J.P.R.B.); (D.D.-L.); (V.L.); (S.B.K.); (L.H.); (J.R.); (M.N.); (R.C.); (E.S.); (M.G.)
Darcy Dunn-Lawless Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK; (J.P.R.B.); (D.D.-L.); (V.L.); (S.B.K.); (L.H.); (J.R.); (M.N.); (R.C.); (E.S.); (M.G.)
Veronica Lucian Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK; (J.P.R.B.); (D.D.-L.); (V.L.); (S.B.K.); (L.H.); (J.R.); (M.N.); (R.C.); (E.S.); (M.G.)
Sara B. Keller Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK; (J.P.R.B.); (D.D.-L.); (V.L.); (S.B.K.); (L.H.); (J.R.); (M.N.); (R.C.); (E.S.); (M.G.)
Colm S. O’Reilly Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford OX1 3PJ, UK;
Luna Hu Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK; (J.P.R.B.); (D.D.-L.); (V.L.); (S.B.K.); (L.H.); (J.R.); (M.N.); (R.C.); (E.S.); (M.G.)
Jeffrey Rubasingham Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK; (J.P.R.B.); (D.D.-L.); (V.L.); (S.B.K.); (L.H.); (J.R.); (M.N.); (R.C.); (E.S.); (M.G.)
Malavika Nair Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK; (J.P.R.B.); (D.D.-L.); (V.L.); (S.B.K.); (L.H.); (J.R.); (M.N.); (R.C.); (E.S.); (M.G.)
Robert Carlisle Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK; (J.P.R.B.); (D.D.-L.); (V.L.); (S.B.K.); (L.H.); (J.R.); (M.N.); (R.C.); (E.S.); (M.G.)
Eleanor Stride Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK; (J.P.R.B.); (D.D.-L.); (V.L.); (S.B.K.); (L.H.); (J.R.); (M.N.); (R.C.); (E.S.); (M.G.)
Michael Gray Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK; (J.P.R.B.); (D.D.-L.); (V.L.); (S.B.K.); (L.H.); (J.R.); (M.N.); (R.C.); (E.S.); (M.G.)
Constantin Coussios Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK; (J.P.R.B.); (D.D.-L.); (V.L.); (S.B.K.); (L.H.); (J.R.); (M.N.); (R.C.); (E.S.); (M.G.)

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Lu S, Su R, Wan C, Guo S, Wan M. Passive acoustic mapping with absolute time-of-flight information and delay-multiply-sum beamforming. Med Phys 2023;50:2323-2335. [PMID: 36704970 DOI: 10.1002/mp.16248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 01/18/2023] [Accepted: 01/18/2023] [Indexed: 01/28/2023] Open

Abstract

BACKGROUND

Passive acoustic mapping (PAM) is showing increasing application potential in monitoring ultrasound therapy by spatially resolving cavitation activity. PAM with the relative time-of-flight information leads to poor axial resolution when implemented with ultrasound diagnostic transducers. Through utilizing the absolute time-of-flight information preserved by the transmit-receive synchronization and applying the common delay-sum (DS) beamforming algorithm, PAM axial resolution can be greatly improved in the short-pulse excitation scenario, as with active ultrasound imaging. However, PAM with the absolute time-of-flight information (referred as AtPAM) suffers from low imaging resolution and weak interference suppression when the DS algorithm is applied.

PURPOSE

This study aims to propose an enhanced AtPAM algorithm based on delay-multiply-sum (DMS) beamforming, to address the shortcomings of the DS-based AtPAM algorithm.

METHODS

In DMS beamforming, the element signals delayed by the absolute time delays are first processed with a signed square-root operation and then multiplied in pairs and finally summed, the resulting beamformed output is further band-pass filtered. The performances of DS- and DMS-based AtPAMs are compared by experiments, in which an ultrasound diagnostic transducer (a linear array) is employed to passively sense the wire signals generated by an unfocused ultrasound transducer and the cavitation signals generated by a focused therapeutic ultrasound transducer in a flow phantom. The AtPAM image quality is assessed by main-lobe width (MLW), intensity valley value (IVV), area of pixels (AOP), signal-to-interference ratio (SIR), and signal-to-noise ratio (SNR).

RESULTS

The single-wire experimental results show that compared to the DS algorithm, the DMS algorithm leads to an enhanced AtPAM image with a decreased transverse MLW of 0.15 mm and an improved SIR and SNR of 31.50 and 18.77 dB. For the four-wire images, the transverse (axial) IVV is decreased by 18.37 dB (13.11 dB) and the SIR (the SNR) is increased by 26.13 dB (18.47 dB) when using the DMS algorithm. The cavitation activity is better highlighted by DMS-based AtPAM, which decreases the AOP by 0.81 mm² (-10-dB level) and 4.43 mm² (-20-dB level) and increases the SIR and SNR by 20.14 and 10.48 dB respectively. The pixel distributions of AtPAM images of both wires and cavitation activity also indicate a better suppression of the DMS algorithm in sidelobe and noise.

CONCLUSIONS

The experimental results illustrate that the DMS algorithm can improve the image quality of AtPAM compared to the DS algorithm. DMS-based AtPAM is beneficial for detecting cavitation activity during short-pulse ultrasound exposure with high resolution, and further for monitoring short-pulse ultrasound therapy.

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Enhanced Near-Field Interference Suppression Scheme for the Non-Cooperative Underwater Acoustic Pulse Detection of the Towed Linear Array. JOURNAL OF MARINE SCIENCE AND ENGINEERING 2022. [DOI: 10.3390/jmse10020250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]