• Laser & Optoelectronics Progress
  • Vol. 55, Issue 5, 051701 (2018)
Guoyin Ren1、1; , Xiaoqi Lü1、1; , Nan Yang1、2; , and Dahua Yu1、1;
Author Affiliations
  • 1 Foreign Language Department, Baotou Medical College, Baotou, Inner Mongolia 0 14010, China
  • 1 School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 0 14010, China
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    DOI: 10.3788/LOP55.051701 Cite this Article Set citation alerts
    Guoyin Ren, Xiaoqi Lü, Nan Yang, Dahua Yu. Research and Realization of Local Cardiovascular Computed Tomography Extraction Algorithm in Lesion Assisted Diagnosis[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051701 Copy Citation Text show less
    Flow chart of improved parallel region growing algorithm
    Fig. 1. Flow chart of improved parallel region growing algorithm
    Composition of MEA
    Fig. 2. Composition of MEA
    Constraint effect of pixel edges. (a) Blood vessel seed point setting; (b) blood vessel segmentation before g value constraint; (c) blood vessel segmentation after g value constraint
    Fig. 3. Constraint effect of pixel edges. (a) Blood vessel seed point setting; (b) blood vessel segmentation before g value constraint; (c) blood vessel segmentation after g value constraint
    Flow chart of cardiac lesion vascular extraction and four-dimensional visualization
    Fig. 4. Flow chart of cardiac lesion vascular extraction and four-dimensional visualization
    Dynamic rendering results for four-dimensional CT of heart
    Fig. 5. Dynamic rendering results for four-dimensional CT of heart
    Extraction results of local cardiac lesion area. (a) Extraction of local three-dimensional tissue; (b) the area of interest drawn with mouse
    Fig. 6. Extraction results of local cardiac lesion area. (a) Extraction of local three-dimensional tissue; (b) the area of interest drawn with mouse
    Results of local cardiac blood vessels (a) before and (b) after resampling
    Fig. 7. Results of local cardiac blood vessels (a) before and (b) after resampling
    Four-dimensional extraction results of blood vessels
    Fig. 8. Four-dimensional extraction results of blood vessels
    Time comparison of parallel region growing algorithm before and after improvement
    Fig. 9. Time comparison of parallel region growing algorithm before and after improvement
    Robustness analysis of the system after disturbance
    Fig. 10. Robustness analysis of the system after disturbance
    Data setPhase volumedata numberResolution /pixelDisplay time /sFPS
    MaximumMinimum
    Heart data4256×256×256×40.92824.5818.87
    8256×256×256×81.39920.7516.39
    10256×256×256×101.62218.3413.78
    ROINon-resampling1060×40×126×101.61531.8722.73
    Resampling1060×40×126×101.70230.5721.21
    Table 1. Four-dimensional display performance of heart and local vessels
    Guoyin Ren, Xiaoqi Lü, Nan Yang, Dahua Yu. Research and Realization of Local Cardiovascular Computed Tomography Extraction Algorithm in Lesion Assisted Diagnosis[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051701
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