참고문헌
- P. Engler, W.D. Friedman, Review of dual-energy computed tomography techniques, Mater. Eval. 48 (1990) 623-629.
- B.J. Heismann, J. Leppet, K. Stierstorfer, Density and atomic number measurements with spectral X-ray attenuation method, J. Appl. Phys. 94 (3) (2003) 2073-2079. https://doi.org/10.1063/1.1586963
- Li Zhang, Guowei Zhang, Zhiqiang Chen, et al., X-ray estimation from transmission measurements using the expectation maximization method, in: IEEE Nuclear Science Symposium Conference Record, 2007.
- Xinhui Duan, Jia Wang, Lifeng Yu, et al., CT scanner X-ray spectrum estimation from transmission measurements, Med. Phys. 38 (2) (2011) 993-997. https://doi.org/10.1118/1.3547718
- Emil Y. Sidky, Lifeng Yu, Xiaochuan Pan, et al., A robust method of X-ray source spectrum estimation from transmission measurements: demonstrated on computer simulated, scatter-free transmission data, J. Appl. Phys. 97 (2005), 1247011-12470111.
- E. Candes, J. Romberg, T. Tao, Stable signal recovery from incomplete and inaccurate measurement, Commun. Pure Appl. Math. 59 (8) (2010) 1207-1223. https://doi.org/10.1002/cpa.20124
- M. Lustin, D. Donoho, J.M. Pauly, Sparse MRI: the application of compressed sensing for rapid MR imaging, Magn. Reson. Med. 58 (6) (2010) 1182-1195. https://doi.org/10.1002/mrm.21391
- M.A. Davenport, J.N. Laska, J.R. Treichler, et al., The Procs and Cons of compressive sensing for wideband signal acquisition: noise folding versus dynamic range, IEEE Trans. Signal Process. 60 (2011) 4628-4642. https://doi.org/10.1109/TSP.2012.2201149
- Simon Foucart, Holger Rauhut, A Mathematical Introduction to Compressed Sensing, Springer, New York, 2013.
- Michal Aharon, Michael Elad, Alfred Bruckstein, K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation, IEEE Trans. Signal Process. 11 (54) (2006) 4311-4322.
- Y.C. Pati, R. Rezaiifar, P.S. Krishnaprasad, Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition, in: Proceedings of 27th Asilomar Conference on Signals, Systems and Computers, 1993.
- Sjostrand Karl, et al., SpaSM: a MATLAB took box for sparse statistical Modeling, J. Stat. Softw. 84 (10) (2018) 1-37.
- Saharon Rosset, Ji Zhu, Picewise linear regularized solution paths, Ann. Stat. 35 (3) (2007) 1012-1030. https://doi.org/10.1214/009053606000001370
- Efron Bradley, Trevor Hatie, Iain Johnstone, Robert Tibshirani, Least angle regression, Ann. Stat. 32 (2) (2004) 407-499. https://doi.org/10.1214/009053604000000067
- S. Agostinelli, et al., Geant4: a simulation toolkit, Nucl. Instrum. Methods Phys. Res. 506 (3) (2003) 250-303. https://doi.org/10.1016/S0168-9002(03)01368-8
- J. Allison, et al., Geant4 developments and applications, IEEE Trans. Nucl. Sci. 53 (1) (2006) 1412-1419.