Stack D D, et al. Magnetic resonance and compute tomography of the normal and diseased pancreas: A compare active study. Radiology, 1984, 70(6): 153-162.[2]Jones J P, et al. Principles of Magnetic Resonance. In Magnetic Resonance Annual, 1985, Ed. by Y. K. Herbert, Raven Press, Switzerland: 1985, 71-111.[3]Hui Y, Smith M R. MRI reconstruction from truncated sata using a complex domain back prop-[4]agation neural network. IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing-Proceedings, IEEE, Piscataway, NJ, U.S.A: 1995, 95CH35765, 513-516.[5]Yan Hong, Mao Jintong. Data truncation artifact reduction in MR imaging using a multilayer neural network. IEEE Trans. on Medical Imaging, 1993, MI-12(I): 73-77.[6]Sebastiani G, Barone P. Truncation artifact reduction in magnetic resonance imaging by Markov random field methods. IEEE Trans. on Medical Imaging, 1995, MI-14(3): 434-441.[7]Kok C W, Hui Y, Nguyen T (a. MRI truncation artifact reduction via wavelet shrinkage. IEE SPIE--The International Society for Optical Engineering, 1997, 3078: 301-311.[7] 崔锦泰著,程正兴译.小波分析导论.西安:西安交通大学出版社,1995, 297-333.[8]Mallat S G, Wen Liang Hwang. Singularity detection and processing with wavelet. IEEE Trans. on Information Theory, 1992, IT-38(2): 617-643.[9]骆建华,吕维雪.模糊多准则图像重建技术.计算机学报,1996, 19(8): 609-615.
|