Optics and Precision Engineering, Volume. 29, Issue 9, 2278(2021)

Automatic location of anatomical points in head MRI based on the scale attention hourglass network

Sai LI1... Hao-jiang LI2, Li-zhi LIU2, Tian-qiao ZHANG1 and Hong-bo CHEN1 |Show fewer author(s)
Author Affiliations
  • 1School of Life & Environmental Science, Guilin University of Electronic Technology, Guilin54004, China
  • 2Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China);Correponding author, E-mail: hongbochen@163.com
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    Figures & Tables(7)
    Anatomical point location map. RIA/LIA(special region display of right/left internal acoustic pore), RAS/LAS(right/left ascending segment of the internal carotid artery in the posterior cavernous sinus)
    Automatic location of anatomical points
    Size range of the anatomical point
    Statistical chart of anatomical point location accuracy(Black dotted line in the figure is the dividing line of whether the result is accurate or not, while the left side of the dotted line is the accurate result and the right side is the inaccurate result)
    Renderings of different network algorithms. Red is the doctor's marker point and green is the algorithm's detection result.
    • Table 1. Comparison table of results of different network algorithms

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      Table 1. Comparison table of results of different network algorithms

      解剖点SAHN原始HNFPN
      准确率(%)

      平均距离

      (像素)

      准确率(%)

      平均距离

      (像素)

      准确率(%)

      平均距离

      (像素)

      RIA83.02.7±2.974.53.2±5.426.36.7±4.4
      LIA82.32.7±1.574.03.3±5.729.76.8±4.2
      RAS90.32.4±3.184.63.2±8.824.37.4±4.3
      LAS93.01.9±2.086.33.0±4.525.37.1±4.0
    • Table 2. Comparison of results of different network depths

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      Table 2. Comparison of results of different network depths

      解剖点3阶4阶5阶6阶
      准确率(%)

      平均距离

      (像素)

      准确率(%)

      平均距离

      (像素)

      准确率(%)

      平均距离

      (像素)

      准确率(%)

      平均距离

      (像素)

      RIA80.72.7±2.983.02.7±2.980.02.8±3.080.02.8±3.0
      LIA81.72.8±1.680.72.8±1.578.03.0±1.682.32.7±1.5
      RAS87.32.5±3.089.02.7±3.189.72.4±3.190.32.4±3.1
      LAS90.72.1±2.191.72.2±2.193.01.9±2.091.02.1±2.1
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    Sai LI, Hao-jiang LI, Li-zhi LIU, Tian-qiao ZHANG, Hong-bo CHEN. Automatic location of anatomical points in head MRI based on the scale attention hourglass network[J]. Optics and Precision Engineering, 2021, 29(9): 2278

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    Paper Information

    Category: Information Sciences

    Received: Nov. 28, 2020

    Accepted: --

    Published Online: Nov. 22, 2021

    The Author Email:

    DOI:10.37188/OPE.20212909.2278

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