• 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
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    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
    References

    [1] Saha P K, Strand R, Borgefors G. Digital topology and geometry in medical image processing: A survey[J]. IEEE Transactions on Medical Imaging, 34, 1940-1964(2015). http://europepmc.org/abstract/MED/25879908

    [2] Chen X T, Zhang F, Zhang Y F et al. Research on stenosis detection and quantification of coronary artery in CT angiography[J]. Laser & Optoelectronics Progress, 52, 080006(2015).

    [3] Li Q, Zhou G Z, Xiao T Q. High precision registration of dual energy CT images with synchrotron radiation[J]. Acta Optica Sinica, 36, 0411003(2016).

    [4] Zhu D S, Fu J, Zhang Y et al. Sensitivity and specificity of double-track sign in the detection of transverse sinus stenosis: A multicenter retrospective study[J]. PLoS One, 10, e0135897(2015). http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4546352/

    [5] Cai J J, Wu D, Mo Y Q et al. Comparison of extracranial artery stenosis and cerebral blood flow, assessed by quantitative magnetic resonance, using digital subtraction angiography as the reference standard[J]. Medicine, 95, e5370(2016). http://pubmedcentralcanada.ca/pmcc/articles/PMC5120925/

    [6] Pang J H, Fang L, Zeng J et al. Subpixel-based image scaling for grid-like subpixel arrangements: A generalized continuous-domain analysis model[J]. IEEE Transactions on Image Processing, 25, 1017-1032(2016). http://europepmc.org/abstract/MED/26780784

    [7] Pan B, Wang B. Digital image correlation with enhanced accuracy and efficiency: A comparison of two subpixel registration algorithms[J]. Experimental Mechanics, 56, 1395-1409(2016). http://link.springer.com/10.1007/s11340-016-0180-z

    [8] Hong X T, Qian Y X. High-accuracy measurement of sub-pixel image motion based on hybrid photoelectirc joint transform correlator[J]. Acta Optica Sinica, 35, 0212001(2015).

    [9] Zeng F X, Li L, Diao X P. Iterative closest point algorithm registration based on curvature features[J]. Laser & Optoelectronics Progress, 54, 011003(2017).

    [10] Zhang F, Zhang X H, Liu X X et al. Blood vessel enhancement for DSA images based on adaptive multi-scale filtering[J]. Optik - International Journal for Light and Electron Optics, 125, 2383-2388(2014). http://www.en.cnki.com.cn/Article_en/CJFDTotal-JSGG201514034.htm

    [11] Wink O, Niessen W J, Viergever M A. Multiscale vessel tracking[J]. IEEE Transactions on Medical Imaging, 23, 130-133(2004).

    [12] Gao S Y, Zhao M Y, Zhang L et al. Improved algorithm about subpixel edge detection of image based on Zernike orthogonal moments[J]. Acta Automatic Sinica, 34, 1163-1168(2008).

    [13] Chen L X, Hu X C, Han K et al. Improvement method for fitting high-frequency phase by Zernike polynomials[J]. Acta Optica Sinica, 36, 0314001(2016).

    [14] Wang Z Q, Zhang P F, Qiao C H et al. Simulation and analysis of general model-based wave-front sensorless adaptive optics system[J]. Chinese Journal of Lasers, 43, 0905002(2016).

    [15] Li C M, Xu C Y, Gui C F et al. Distance regularized level set evolution and its application to image segmentation[J]. IEEE Transactions on Image Processing, 19, 3243-3254(2010). http://bioinformatics.oxfordjournals.org/external-ref?access_num=10.1109/TIP.2010.2069690&link_type=DOI

    [16] Steger C. An unbiased detector of curvilinear structures[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 20, 113-125(1996). http://bioinformatics.oxfordjournals.org/external-ref?access_num=10.1109/34.659930&link_type=DOI

    [17] Steger S, Bozoglu N, Kuijper A et al. Application of radial ray based segmentation to cervical lymph nodes in CT images[J]. IEEE Transactions on Medical Imaging, 32, 888-900(2013). http://www.ncbi.nlm.nih.gov/pubmed/23362249

    [18] de Cecco C N, Varga-Szemes A, Meinel F G et al. . Beyond stenosis detection: Computed tomography approaches for determining the functional relevance of coronary artery disease[J]. Radiologic Clinics, 53, 317-334(2015). http://www.sciencedirect.com/science/article/pii/S003383891400205X

    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
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