基于非负约束L1-范数正则化的乳腺扩散光学层析成像重建方法
王兵元, 陈玮婷, 马文娟, 祁瑾, 张丽敏, 赵会娟, 高峰. 基于非负约束L1-范数正则化的乳腺扩散光学层析成像重建方法[J]. 光学学报, 2016, 36(11): 1117002.
Wang Bingyuan, Chen Weiting, Ma Wenjuan, Qi Jin, Zhang Limin, Zhao Huijuan, Gao Feng. Reconstruction Method of Breast Diffuse Optical Tomography Based on Non-Negative-Constraint L1-Norm Regularization[J]. Acta Optica Sinica, 2016, 36(11): 1117002.
[1] Cao N, Nehorai A, Jacobs M. Image reconstruction for diffuse optical tomography using sparsity regularization and expectation-maximization algorithm[J]. Optics Express, 2007, 15(21): 13695-13708.
[2] Prakash J, Shaw C B, Manjappa R, et al. Sparse recovery methods hold promise for diffuse optical tomographic image reconstruction[J]. IEEE Journal of Selected Topics in Quantum Electronics, 2014, 20(2): 74-82.
[3] Chen C, Tian F H, Liu H L, et al. Diffuse optical tomography enhanced by clustered sparsity for functional brain imaging[J]. IEEE Transactions on Medical Imaging, 2014, 33(12): 2323-2331.
[4] Lee O, Kim J M, Bresler Y, et al. Compressive diffuse optical tomography: noniterative exact reconstruction using joint sparsity[J]. IEEE Transactions on Medical Imaging, 2011, 30(5): 1129-1142.
[5] Okawa S, Hoshi Y, Yamada Y. Improvement of image quality of time-domain diffuse optical tomography with IP sparsity regularization[J]. Biomedical Optics Express, 2011, 2(12): 3334-3348.
[6] Guo H B, Yu J J, He X W, et al. Improved sparse reconstruction for fluorescence molecular tomography with L 1/2 regularization[J]. Biomedical Optics Express, 2015, 6(5): 1648-1664.
[7] Han D, Tian J, Zhu S, et al. A fast reconstruction algorithm for fluorescence molecular tomography with sparsity regularization[J]. Optics Express, 2010, 18(8): 8630-8646.
[8] Figueiredo M A T, Nowak R D, Wright S J. Gradient projection for sparse reconstruction: application to compressed sensing and other inverse problems[J]. IEEE Journal of Selected Topics in Signal Processing, 2007, 1(4): 586-597.
[9] Beck A, Teboulle M. A fast iterative shrinkage-thresholding algorithm for linear inverse problems[J]. SIAM Journal on Imaging Sciences, 2009, 2(1): 183-202.
[10] Nocedal J, Wright S J. Numerical optimization[M]. New York: Springer-Verlag, 1999: 474-476.
[11] Zhao L, Yang H, Cong W, et al. Lp regularization for early gate fluorescence molecular tomography[J]. Optics Letters, 2014, 39(14): 4156-4159.
[12] Chen W, Wang X, Wang B, et al. Lock-in-photon-counting-based highly-sensitive and large-dynamic imaging system for continuous-wave diffuse optical tomography[J]. Biomedical Optics Express, 2016, 7(2): 499-511.
[13] Qin D, Ma Z, Gao F, et al. Determination of optical properties in turbid medium based on time-resolved determination[C]. SPIE, 2007, 6534: 65340T.
王兵元, 陈玮婷, 马文娟, 祁瑾, 张丽敏, 赵会娟, 高峰. 基于非负约束L1-范数正则化的乳腺扩散光学层析成像重建方法[J]. 光学学报, 2016, 36(11): 1117002. Wang Bingyuan, Chen Weiting, Ma Wenjuan, Qi Jin, Zhang Limin, Zhao Huijuan, Gao Feng. Reconstruction Method of Breast Diffuse Optical Tomography Based on Non-Negative-Constraint L1-Norm Regularization[J]. Acta Optica Sinica, 2016, 36(11): 1117002.
PDF全文
