X-ray propagation-based equally sloped tomography for mouse brain
文献类型：期刊论文
| 作者 | Ren, YQ; Wang, YD; Zhou, GZ; He, Y; Xie, HL; Du, GH; Deng, B; Lin, XJ; Yang, GY; Xiao, TQ |
| 刊名 | JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY
 |
| 出版日期 | 2016 |
| 卷号 | 24期号:1页码:79—86 |
| 关键词 | PHASE-CONTRAST TOMOGRAPHY HIGH-RESOLUTION MICROTOMOGRAPHY IMAGE MRI CT |
| ISSN号 | 0895-3996 |
| 通讯作者 | Xiao, TQ (reprint author), 239 Zhangheng Rd, Shanghai 201204, Peoples R China. |
| 英文摘要 | BACKGROUND: The outstanding functional importance of the brain implies a strong need for brain imaging modalities. However, the current imaging approaches that target the brain in rodents remain suboptimal. OBJECTIVE AND METHODS: In this paper, X-ray propagation-based phase contrast imaging combined with equally sloped tomography (PPCI-EST) was employed to nondestructively investigate the mouse brain. RESULTS: The grey and white matters, which have extremely small differences in electron density, were clearly discriminated. The fine structures, including the corpus callosum (cc), the optic chiasma (ox) and the caudate putamen (CPu), were revealed. Compared to the filtered back projection reconstruction, the PPCI-EST significantly reduce projection number while maintaining sufficient image quality. CONCLUSIONS: It could be a potential tool for fast and low-dose phase-contrast imaging to biomedical specimens. |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000371721700006 |
| 源URL | [http://ir.sinap.ac.cn/handle/331007/25894]  |
| 专题 | 上海应用物理研究所_中科院上海应用物理研究所2011-2017年 |
| 推荐引用方式 GB/T 7714 | Ren, YQ,Wang, YD,Zhou, GZ,et al. X-ray propagation-based equally sloped tomography for mouse brain[J]. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY,2016,24(1):79—86. |
| APA | Ren, YQ.,Wang, YD.,Zhou, GZ.,He, Y.,Xie, HL.,...&Xiao, TQ.(2016).X-ray propagation-based equally sloped tomography for mouse brain.JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY,24(1),79—86. |
| MLA | Ren, YQ,et al."X-ray propagation-based equally sloped tomography for mouse brain".JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 24.1(2016):79—86. |
入库方式： OAI收割
来源：上海应用物理研究所
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