Tissue characterization using terahertz pulsed imaging in reflection geometry
文献类型：期刊论文
| 作者 | S Y Huang; Y X J Wang; D K Wyeung; A T Ahuja; Y-T Zhang; E Pickwell-MacPherson |
| 刊名 | PHYSICS IN MEDICINE AND BIOLOGY
 |
| 出版日期 | 2009 |
| 卷号 | 54期号:1页码:149-160 |
| 英文摘要 | Terahertz pulsed imaging (TPI (TM)) is a non-ionizing and non-destructive imaging technique that has been recently used to study a wide range of biological materials. The severe attenuation of terahertz radiation in samples with high water content means that biological samples need to be very thin if they are to be measured in transmission geometry. To overcome this limitation, samples could be measured in reflection geometry and this is the most feasible way in which TPI could be performed in a clinical setting. In this study, we therefore used TPI in reflection geometry to characterize theterahertz properties of several organ samples freshly harvested from laboratory rats. We observed differences in the measured time domain responses and determined the frequency-dependent optical properties to characterize the samples further. We found statistically significant differences between thetissue types. These results show that TPI has the potential to accurately differentiate between tissue types non-invasively. |
| 收录类别 | SCI |
| 原文出处 | http://iopscience.iop.org/0031-9155/54/1/010 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/2524]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | PHYSICS IN MEDICINE AND BIOLOGY |
| 推荐引用方式 GB/T 7714 | S Y Huang,Y X J Wang,D K Wyeung,et al. Tissue characterization using terahertz pulsed imaging in reflection geometry[J]. PHYSICS IN MEDICINE AND BIOLOGY,2009,54(1):149-160. |
| APA | S Y Huang,Y X J Wang,D K Wyeung,A T Ahuja,Y-T Zhang,&E Pickwell-MacPherson.(2009).Tissue characterization using terahertz pulsed imaging in reflection geometry.PHYSICS IN MEDICINE AND BIOLOGY,54(1),149-160. |
| MLA | S Y Huang,et al."Tissue characterization using terahertz pulsed imaging in reflection geometry".PHYSICS IN MEDICINE AND BIOLOGY 54.1(2009):149-160. |
入库方式： OAI收割
来源：深圳先进技术研究院
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