Development of a Compact Photoacoustic Tomography Imaging System with Dual Single-Element Transducers for Image Enhancement

Abstract

Objective

This paper proposes a new photoacoustic computed tomography (PACT) imaging system employing dual ultrasonic transducers with different frequencies. When imaging complex biological tissues, photoacoustic (PA) signals with multiple frequencies are produced simultaneously; however, due to the limited bandwidth of a single-frequency transducer, the received PA signals with specific frequencies may be missing, leading to a low imaging quality.

Methods

In contrast to our previous work, the proposed system has a compact volume as well as specific selection of the detection center frequency of the transducer, which can provide a comprehensive range for the detection of PA signals. In this study, a series of numerical simulation and phantom experiments were performed to validate the efficacy of the developed PACT system.

Results

The images generated by our system combined the advantages of both high resolution and ideal brightness/contrast.

Conclusion

The interchangeability of transducers with different frequencies provides potential for clinical deployment under the circumstance where a single frequency transducer cannot perform well.

Keywords

photoacoustic tomography / dual transducers / image enhancement / signal responding range

References

[1] BeardP. Biomedical photoacoustic imaging. Interface Focus, 2011, 1(4): 602-631

[2] TianC, ZhangC, ZhangH, et al.. Spatial Resolution in Photoacoustic Computed Tomography. Rep Prog Phys, 2021, 84(3): 036701

[3] GuoH, LiY, QiW, et al.. Photoacoustic endoscopy: A progress review. J Biophotonics, 2020, 13(12): e202000217

[4] WangLV, YaoJ. A practical guide to photoacoustic tomography in the life sciences. Nat Methods, 2016, 13(8): 627-638

[5] SteinbergI, HulandDM, VermeshO, et al.. Photoacoustic clinical imaging. Photoacoustics, 2019, 14: 77-98

[6] LiC, WangLV. Photoacoustic tomography and sensing in biomedicine. Phys Med Biol, 2009, 54(19): R59-97

[7] WangLV, WuSIBiomedical Optics: Principles and Imaging, 2007, Hoboken, Wiley Press: 201-236

[8] GaoF, FengX, ZhengY. Advanced photoacoustic and thermoacoustic sensing and imaging beyond pulsed absorption contrast. J Optics, 2016, 18(7): 074006

[9] GaoF, FengX, ZhengY. Coherent photoacoustic-ultrasound correlation and imaging. IEEE Trans Biomed Eng, 2014, 61(9): 2507-2512

[10] AttiaABE, BalasundaramG, MoothancheryM, et al.. A review of clinical photoacoustic imaging: Current and future trends. Photoacoustics, 2019, 16: 100144

[11] FatimaA, KratkiewiczK, ManwarR, et al.. Review of cost reduction methods in photoacoustic computed tomography. Photoacoustics, 2019, 15: 100137

[12] ShiJ, TangY, YaoJ. Advances in super-resolution photoacoustic imaging. Quant Imaging Med Surg, 2018, 8(8): 724-732

[13] LiuS, FengX, JinH, et al.. Handheld Photoacoustic Imager for Theranostics in 3D. IEEE Trans Med Imaging, 2019, 38(9): 2037-2046

[14] ZhouY, YaoJ, WangLV. Tutorial on photoacoustic tomography. J Biomed Opt, 2016, 21(6): 61007

[15] ZempR, BittonR, ShungK, et al.. Photoacoustic imaging of the microvasculature with a high-frequency ultrasound array transducer. J Biomed Optics, 2007, 12(1): 010501

[16] TanY, XiaK, RenQ, et al.. Three-dimensional photoacoustic imaging via scanning a one dimensional linear unfocused ultrasound array. Opt Express, 2017, 25(7): 8022-8028

[17] NasiriavanakiM, XiaJ, WanH, et al.. High-resolution photoacoustic tomography of resting-state functional connectivity in the mouse brain. Proc Natl Acad Sci USA, 2014, 111(1): 21-26

[18] WangX, PangY, KuG, et al.. Noninvasive laser-induced photoacoustic tomography for structural and functional in vivo imaging of the brain. Nat Biotechnol, 2003, 21(7): 803-806

[19] TianC, PeiM, ShenK, et al.. Impact of System Factors on the Performance of Photoacoustic Tomography Scanners. Phys Rev Applied, 2020, 13(1): 014001

[20] WangLV, SongH. Photoacoustic tomography: in vivo imaging from organelles to organs. Science (New York, N.Y.), 2018, 335(6075): 1458-1462

[21] TreebyBE, CoxBT. k-Wave: MATLAB toolbox for the simulation and reconstruction of photoacoustic wave fields. J Biomed Opt, 2010, 15(2): 021314

[22] Zhou M, Xia H, Lan H, et al. In Wavelet denoising method with adaptive threshold selection for photoacoustic tomography, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 18–21 July 2018: 4796–4799