Photoacoustic image reconstruction - A quantitative analysis

被引:4
|
作者
Sperl, Jonathan I. [1 ]
Zell, Karin [2 ]
Menzenbach, Peter [3 ]
Haisch, Christoph [2 ]
Ketzer, Stephan [1 ]
Marquart, Markus [1 ]
Koenig, Hartmut [1 ]
Vogel, Mika W. [1 ]
机构
[1] GE Global Res, Freisinger Landstr 50, Munich, Germany
[2] Tech Univ Munich, Chair Analyt Chem, Munich, Germany
[3] Innolas GmbH, Krailling, Germany
关键词
photoacoustic; optoacoustic; image reconstruction; delay-and-sum; circular backprojection; Hough transform; Fourier transform;
D O I
10.1117/12.727839
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Photoacoustic imaging is a promising new way to generate unprecedented contrast in ultrasound diagnostic imaging. It differs from other medical imaging approaches, in that it provides spatially resolved information about optical absorption of targeted tissue structures. Because the data acquisition process deviates from standard clinical ultrasound, choice of the proper image reconstruction method is crucial for successful application of the technique. In the literature, multiple approaches have been advocated, and the purpose of this paper is to compare four reconstruction techniques. Thereby, we focused on resolution limits, stability, reconstruction speed, and SNR. We generated experimental and simulated data and reconstructed images of the pressure distribution using four different methods: delay-and-sum (DnS), circular backprojection (CBP), generalized 2D Hough transform (HTA), and Fourier transform (FTA). All methods were able to depict the point sources properly. DnS and CBP produce blurred images containing typical superposition artifacts. The HTA provides excellent SNR and allows a good point source separation. The FTA is the fastest and shows the best FWHM. In our study, we found the FTA to show the best overall performance. It allows a very fast and theoretically exact reconstruction. Only a hardware-implemented DnS might be faster and enable real-time imaging. A commercial system may also perform several methods to fully utilize the new contrast mechanism and guarantee optimal resolution and fidelity.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Bayesian approach to image reconstruction in photoacoustic tomography
    Tick, Jenni
    Pulkkinen, Aki
    Tarvainen, Tanja
    PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2017, 2017, 10064
  • [32] Boundary conditions in photoacoustic tomography and image reconstruction
    Wang, Lihong V.
    Yang, Xinmai
    JOURNAL OF BIOMEDICAL OPTICS, 2007, 12 (01)
  • [33] Near-Surface Excitation and Spectrum Analysis of Photoacoustic waves and Image Reconstruction
    Bhat, Shazan Ahmad
    Ganguly, Swaroop
    Saha, Dipankar
    PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2024, 2024, 12842
  • [34] Axial Signal Analysis and Image Reconstruction in Acoustic Lens Photoacoustic Imaging System
    Zhang, Yu
    Tang, Zhilie
    Wu, Yongbo
    Zhang, F. D. Jiantong
    IEEE ACCESS, 2017, 5 : 918 - 923
  • [35] Reconstruction-classification method for quantitative photoacoustic tomography
    Malone, Emma
    Powell, Samuel
    Cox, Ben T.
    Arridge, Simon
    JOURNAL OF BIOMEDICAL OPTICS, 2015, 20 (12)
  • [36] Image-guided filtering for improving photoacoustic tomographic image reconstruction
    Awasthi, Navchetan
    Kalva, Sandeep Kumar
    Pramanik, Manojit
    Yalavarthy, Phaneendra K.
    JOURNAL OF BIOMEDICAL OPTICS, 2018, 23 (09) : 1 - 22
  • [37] The application of compressed sensing method in photoacoustic image reconstruction
    Hu, Danfeng
    Wang, Jiajun
    Fang, Erxi
    Thou, Wei
    Zhou, Yue
    2014 4TH IEEE INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST), 2014, : 256 - 259
  • [38] PET/CT Reconstruction and Its Impact on Quantitative Image Analysis
    Kuhnert, G.
    Boellaard, R.
    Kahramann, D.
    Scheffler, M.
    Wolf, J.
    Dietlein, M.
    Drzezga, A.
    Kobe, C.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2015, 42 : S712 - S712
  • [39] Multi-bandwidth image reconstruction in photoacoustic tomography
    Chou, Cheng-Ying
    Anastasio, Mark A.
    Zhang, Jin
    Ku, Geng
    Yang, Xinmai
    Wang, Lihong V.
    PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2008: THE NINTH CONFERENCE ON BIOMEDICAL THERMOACOUSTICS, OPTOACOUSTICS, AND ACOUSTIC-OPTICS, 2008, 6856
  • [40] Image reconstruction in transcranial photoacoustic computed tomography of the brain
    Mitsuhashi, Kenji
    Wang, Lihong V.
    Anastasio, Mark A.
    PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2015, 2015, 9323