• Chinese Optics Letters
  • Vol. 13, Issue 6, 061001 (2015)
Yuxin Wang1, Jie Yuan1、*, Sidan Du1, Xiaojun Liu2, Guan Xu3, and Xueding Wang3、**
Author Affiliations
  • 1School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China
  • 2School of Physics, Nanjing University, Nanjing 210093, China
  • 3Department of Radiology, University of Michigan, Ann Arbor, MI 48109, USA
  • show less
    DOI: 10.3788/COL201513.061001 Cite this Article Set citation alerts
    Yuxin Wang, Jie Yuan, Sidan Du, Xiaojun Liu, Guan Xu, Xueding Wang. Adaptive multi-sample-based photoacoustic tomography with imaging quality optimization[J]. Chinese Optics Letters, 2015, 13(6): 061001 Copy Citation Text show less
    Schematic of the multi-sampling procedure.
    Fig. 1. Schematic of the multi-sampling procedure.
    Schematic diagram of the experiment system.
    Fig. 2. Schematic diagram of the experiment system.
    Human hair phantom reconstruction: (a) Model of the phantom. (b) PA image with single sample frame. (c) PA image with traditional multi-sample-based method. (d) PA image with our multi-sample-based method.
    Fig. 3. Human hair phantom reconstruction: (a) Model of the phantom. (b) PA image with single sample frame. (c) PA image with traditional multi-sample-based method. (d) PA image with our multi-sample-based method.
    Images of human index finger joint: (a) PA image using one sample frame. (b) PA image using simple multi-frames average method. (c) PA image using our proposed multi-frame-based method. (d) B-mode ultrasound image; BO, bone; IN, inner structure of tendon; JO, joint; PE, periosteum; TE, tendon.
    Fig. 4. Images of human index finger joint: (a) PA image using one sample frame. (b) PA image using simple multi-frames average method. (c) PA image using our proposed multi-frame-based method. (d) B-mode ultrasound image; BO, bone; IN, inner structure of tendon; JO, joint; PE, periosteum; TE, tendon.
    Hair No.1234
    PSNR_S (dB)58.609859.268456.773759.4863
    PSNR_N (dB)62.813363.114360.492663.0089
    PSNR_M (dB)64.448765.575562.959965.3259
    Table 1. PSNR Improved with Multi-Sample-Based Approach
    RegionOne-Sample-Based MethodSimple Multi-Sample-Based MethodOur Method
    A36.523543.342246.4543
    B33.389041.900344.0908
    C35.778143.078345.6740
    Table 2. PSNR Comparison between Different Approaches
    Yuxin Wang, Jie Yuan, Sidan Du, Xiaojun Liu, Guan Xu, Xueding Wang. Adaptive multi-sample-based photoacoustic tomography with imaging quality optimization[J]. Chinese Optics Letters, 2015, 13(6): 061001
    Download Citation