• Laser & Optoelectronics Progress
  • Vol. 55, Issue 4, 041101 (2018)
Fan Zhang, Xiangting Chen, and Xinhong Zhang*
Author Affiliations
  • Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, Henan 475000, China
  • show less
    DOI: 10.3788/LOP55.041101 Cite this Article Set citation alerts
    Fan Zhang, Xiangting Chen, Xinhong Zhang. Algorithm of Automatic Detection of Blood Vessel Stenosis with Sub-Pixel Level of Digital Subtraction Angiography[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041101 Copy Citation Text show less
    Image enhancement effects of adaptive multi-scale filtering. (a) Original image; (b) image after multi-scale self-adaptive filtering
    Fig. 1. Image enhancement effects of adaptive multi-scale filtering. (a) Original image; (b) image after multi-scale self-adaptive filtering
    Extracted central axis of blood vessel. (a) Blood vessel after multi-scale self-adaptive filtering; (b) central axis of blood vessel
    Fig. 2. Extracted central axis of blood vessel. (a) Blood vessel after multi-scale self-adaptive filtering; (b) central axis of blood vessel
    Sketch of sub-pixel edge detection. (a) Image of ideal step edge; (b) image of ideal step edge after rotation
    Fig. 3. Sketch of sub-pixel edge detection. (a) Image of ideal step edge; (b) image of ideal step edge after rotation
    Sub-pixel edge extraction and stenosis detection based on Zernike moments. (a) Extraction of sub-pixel edge; (b) schematic of diameter measurement based on dynamical ball
    Fig. 4. Sub-pixel edge extraction and stenosis detection based on Zernike moments. (a) Extraction of sub-pixel edge; (b) schematic of diameter measurement based on dynamical ball
    Detection results of proposed method
    Fig. 5. Detection results of proposed method
    Comparison of experimental results
    Fig. 6. Comparison of experimental results
    LocationRNASCET
    ExpertcalibrationLevel setalgorithmStegeralgorithmProposedalgorithm
    145.239.648.246.8
    240.836.244.642.1
    352.645.750.055.2
    437.933.639.938.1
    528.122.826.228.9
    655.550.559.657.9
    756.749.962.558.3
    833.529.130.833.2
    960.949.566.663.4
    1041.137.438.942.5
    1133.730.836.142.9
    1222.420.124.223.5
    Table 1. Stenosis experimental and contrast results of DSA images (stenosis rate of NASCET)%
    Fan Zhang, Xiangting Chen, Xinhong Zhang. Algorithm of Automatic Detection of Blood Vessel Stenosis with Sub-Pixel Level of Digital Subtraction Angiography[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041101
    Download Citation