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	The dynamic micro computed tomography at SSRF 期刊论文 OAI收割 JOURNAL OF INSTRUMENTATION, 2018, 卷号: 13 作者: Chen, R.; Xu L(许良); Du, G.; Deng, B.; Xie, H. \| 收藏 \| 浏览/下载：42/0 \| 提交时间：2018/07/03 Computerized Tomography (Ct) And Computed Radiography (Cr) Image Reconstruction In Medical imagIng Inspection With X-rays Data Compression
	Analytic signal extraction approach based on 2D Grating Interferometer and systematic comparison between 2D GI and 1D case 期刊论文 OAI收割 JOURNAL OF INSTRUMENTATION, 2016, 卷号: 11 作者: Wu ZY(吴自玉); Zhu PP(朱佩平); Ju, Z; Wang, Y; Li, P \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2017/07/24 Interferometry Image reconstruction in medical imaging Medical-image reconstruction methods and algorithms, computer-aided diagnosis
	The compression and storage method of the same kind of medical images-DPCM (EI CONFERENCE) 会议论文 OAI收割 4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China 作者: Liu H.; Liu H.; Liu H. 收藏 \| 浏览/下载：13/0 \| 提交时间：2013/03/25 Medical imaging has started to take advantage of digital technology opening the way for advanced medical imaging and teleradiology. Medical images however require large amounts of memory. At over 1 million bytes per image a typical hospital needs a staggering amount of memory storage (over one trillion bytes per year) and transmitting an image over a network (even the promised superhighway) could take minutes - too slow for interactive teleradiology. This calls for image compression to reduce significantly the amount of data needed to represent an image. Several compression techniques with different compression ratio have been developed. However the lossless techniques which allow for perfect reconstruction of the original images yield modest compression ratio while the techniques that yield higher compression ratio are lossy that is the original image is reconstructed only approximately Medical imaging poses the great challenge of having compression algorithms that are lossless (for diagnostic and legal reasons) and yet have high compression ratio for reduced storage and transmission time. To meet this challenge we are developing and studying some compression schemes which are either strictly lossless or diagnostically lossless taking advantage of the peculiarities of medical images and of the medical practice. In order to increase the Signal to-Noise Ratio (SNR) by exploitation of correlations within the source signal a method of combining differential pulse code modulation (DPCM) is presented.