• Journal of Innovative Optical Health Sciences
  • Vol. 11, Issue 4, 1850017 (2018)
Xin Cao1, Yi Sun1, Fei Kang2, Lin Wang1..., Huangjian Yi1, Fengjun Zhao1, Linzhi Su1,* and Xiaowei He1|Show fewer author(s)
Author Affiliations
  • 1School of Information Science and Technology, Northwest University, Xi'an, Shaanxi 710069, P. R. China
  • 2Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P. R. China
  • show less
    DOI: 10.1142/s1793545818500177 Cite this Article
    Xin Cao, Yi Sun, Fei Kang, Lin Wang, Huangjian Yi, Fengjun Zhao, Linzhi Su, Xiaowei He. A novel denoising framework for cerenkov luminescence imaging based on spatial information improved clustering and curvature-driven diffusion[J]. Journal of Innovative Optical Health Sciences, 2018, 11(4): 1850017 Copy Citation Text show less
    References

    [1] Y. Xu, H. Liu, Z. Cheng, “Harnessing the power of radionuclides for optical imaging: Cerenkov luminescence imaging," J. Nucl.Med. 52, 2009–2018 (2011).

    [2] P. A. Cerenkov, “Visible radiation produced by electrons moving in a medium with velocities exceeding that of light," Phys. Rev. 52, 378–379 (1937).

    [3] A. Ruggiero, J. P. Holland, J. S. Lewis et al., “Cerenkov luminescence imaging of medical isotopes," J. Nucl. Med. 51, 1123–1130 (2010).

    [4] R. Robertson, M. S. Germanos, C. Li et al., “Optical imaging of cerenkov light generation from positron-emitting radiotracers," Phys. Med. Biol. 54, N355–N365 (2009).

    [5] X. Cao, X. Chen, F. Kang et al., “Performance evaluation of endoscopic cerenkov luminescence imaging system: In vitro and pseudotumor studies," Biomed. Opt. Express 5, 3660–3670 (2014).

    [6] X. Cao, Y. Zhan, X. Cao et al., “Harnessing the power of cerenkov luminescence imaging for gastroenterology: Cerenkov luminescence endoscopy," Curr. Med. Imag. Rev. 13, 50–57 (2017).

    [7] Z. Hu, J. Liang, W. Yang et al., “Experimental cerenkov luminescence tomography of the mouse model with spect imaging validation," Opt. Express 18, 24441–24450 (2010).

    [8] C. Li, G. S. Mitchell, S. R. Cherry, “Cerenkov luminescence tomography for small-animal imaging," Opt. Lett. 35, 1109–1111 (2010).

    [9] A. E. Spinelli, M. Ferdeghini, C. Cavedon et al., “First human cerenkography," J. Biomed. Opt. 18, 020502 (2013).

    [10] D. L. J. Thorek, C. C. Riedl, J. Grimm, “Clinical cerenkov luminescence imaging of f-18-fdg," J. Nucl. Med. 55, 95–98 (2014).

    [11] X. Cao, X. Chen, F. Kang et al., “Sensitivity improvement of cerenkov luminescence endoscope with terbium doped gd2o2s nanoparticles," Appl. Phys. Lett. 106, 213702 (2015).

    [12] G. S. Mitchell, R. K. Gill, D. L. Boucher et al., “In vivo cerenkov luminescence imaging: A new tool for molecular imaging," Philos. Trans. R. Soc. Lond. A, Math. Phys. Eng. Sci. 369, 4605–4619 (2011).

    [13] X. Cao, X. Chen, F. Kang et al., “Intensity enhanced cerenkov luminescence imaging using terbiumdoped gd2o2s microparticles," ACS Appl. Mater. Interfaces 7, 11775–11782 (2015).

    [14] X. Cao, Y. Li, Y. Zhan et al., “Removing noises induced by gamma radiation in cerenkov luminescence imaging using a temporal median filter," Biomed. Res. Int. 2016, 7948432–7948432 (2016).

    [15] J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York (1981).

    [16] P. Wang, H. L. Wang, A modified FCM algorithm for MRI brain image segmentation, Int. Seminar Future BioMedical Information Engineering, 2008. FBIE'08, pp. 26–29, IEEE (2008).

    [17] Y. A. Tolias, S. M. Panas, “Image segmentation by a fuzzy clustering algorithm using adaptive spatially constrained membership functions," IEEE Trans. Syst. Man Cybern. A, Syst. Humans 28, 359–369 (1998).

    [18] M. Gong, L. Su, M. Jia et al., “Fuzzy clustering with a modified mrf energy function for change detection in synthetic aperture radar images," IEEE Trans. Fuzzy Syst. 22, 98–109 (2014).

    [19] M. Krinidis, I. Pitas, “Color texture segmentation based on the modal energy of deformable surfaces," IEEE Trans. Image Process. 18, 1613–1622 (2009).

    [20] S. Krinidis, V. Chatzis, “A robust fuzzy local information c-means clustering algorithm" IEEE Trans. Image Process. 19, 1328–1337 (2010).

    [21] T. F. Chan, J. H. Shen, “Mathematical models for local nontexture inpaintings," SIAM J. Appl. Math. 62, 1019–1043 (2002).

    [22] T. F. Chan, “Nontexture inpainting by curvaturedriven diffusions," J. Vis. Commun. Image Represent. 12, 436–449 (2001).

    [23] S. H. Ren, X. L. Chen, H. L. Wang et al., “Molecular optical simulation environment (mose): A platform for the simulation of light propagation in turbid media," PLoS One 8, 11 (2013).

    [24] K. Liu, Y. Lu, J. Tian et al., “Evaluation of the simplified spherical harmonics approximation in bioluminescence tomography through heterogeneous mouse models," Opt. Express 18, 20988–21002 (2010).

    Xin Cao, Yi Sun, Fei Kang, Lin Wang, Huangjian Yi, Fengjun Zhao, Linzhi Su, Xiaowei He. A novel denoising framework for cerenkov luminescence imaging based on spatial information improved clustering and curvature-driven diffusion[J]. Journal of Innovative Optical Health Sciences, 2018, 11(4): 1850017
    Download Citation