Nanorod-based flow estimation using a high-frame-rate photoacoustic imaging system

被引:27
|
作者
Liao, Chao-Kang [1 ]
Huang, Sheng-Wen [1 ]
Wei, Chen-Wei [1 ]
Li, Pai-Chi [1 ]
机构
[1] Natl Taiwan Univ, Dept Elect Engn, Grad Inst Biomed Elect & Bioinformat, Taipei 106, Taiwan
关键词
flow rate; high-frame-rate imaging; photoacoustic imaging; nanoparticles; nanorods;
D O I
10.1117/1.2812704
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
A quantitative flow measurement method that utilizes a sequence of photoacoustic images is described. The method is based on the use of gold nanorods as a contrast agent for photoacoustic imaging. The peak optical absorption wavelength of a gold nanorod depends on its aspect ratio, which can be altered by laser irradiation (we establish a wash-in flow estimation method of this process). The concentration of nanorods with a particular aspect ratio inside a region of interest is affected by both laser-induced shape changes and replenishment of nanorods at a rate determined by the flow velocity. In this study, the concentration is monitored using a custom-designed, high-frame-rate photoacoustic imaging system. This imaging system consists of fiber bundles for wide area laser irradiation, a laser ultrasonic transducer array, and an ultrasound front-end subsystem that allows acoustic data to be acquired simultaneously from 64 transducer elements. Currently, the frame rate of this system is limited by the pulse-repetition frequency of the laser (i.e., 15 Hz). With this system, experimental results from a chicken breast tissue show that flow velocities from 0.125 to 2 mm/s can be measured with an average error of 31.3%. (C) 2007 Society of Photo-Optical Instrumentation Engineers.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Nanorod-based flow estimation using a high-frame-rate photoacoustic imaging system
    National Taiwan University, Department of Electrical Engineering, Graduate Institute of Biomedical Electronics and Bioinformation, Number 1, Roosevelt Road, Taipei 106, Taiwan
    不详
    J Biomed Opt, 2007, 6
  • [2] High-Frame-Rate Optical Flow System
    Ishii, Idaku
    Taniguchi, Taku
    Yamamoto, Kenkichi
    Takaki, Takeshi
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2012, 22 (01) : 105 - 112
  • [3] SNR-Dependent Coherence-Based Adaptive Imaging for High-Frame-Rate Ultrasonic and Photoacoustic Imaging
    Wang, Yu-Hsin
    Li, Pai-Chi
    IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2014, 61 (08) : 1419 - 1432
  • [4] Tracking in High-Frame-Rate Imaging
    Wu, Shih-Ying
    Wang, Shun-Li
    Li, Pai-Chi
    ULTRASONIC IMAGING, 2010, 32 (01) : 1 - 15
  • [5] A composite high-frame-rate system for clinical cardiovascular imaging
    Wang, Shougang
    Lee, Wei-Ning
    Provost, Jean
    Luo, Jianwen
    Konofagou, Elisa E.
    IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2008, 55 (10) : 2221 - 2233
  • [6] High frame rate photoacoustic imaging using clinical ultrasound system
    Sivasubramanian, Kathyayini
    Pramanik, Manojit
    PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2016, 2016, 9708
  • [7] Learning-Based High-Frame-Rate SAR Imaging
    Wu, Junjie
    Pu, Wei
    An, Hongyang
    Huang, Yulin
    Yang, Haiguang
    Yang, Jianyu
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61
  • [8] Accuracy of Gradient-Based Optical Flow Estimation in High-Frame-Rate Video Analysis
    Chen, Lei
    Takaki, Takeshi
    Ishii, Idaku
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2012, E95D (04): : 1130 - 1141
  • [9] High-frame-rate Imaging of a Carotid Bifurcation using a Low-complexity Velocity Estimation Approach
    Di Ianni, Tommaso
    Hoyos, Carlos Armando Villagomez
    Ewertsen, Caroline
    Nielsen, Michael Bachmann
    Jensen, Jorgen Arendt
    2017 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2017,
  • [10] Speckle Noise Reduction for High-Frame-Rate Imaging
    Lu, Jian-yu
    2017 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2017,