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Local region structured noise reduction for cortical optical imaging
Liu YD(刘亚东); Hu DW(胡德文); Zhou ZT(周宗潭); Liu FY(刘发益)
作者部门机器人学研究室
关键词Optical Imaging Structured Noise Canonical Correlation Analysis Monte-carlo Simulation Multi-taper Method
发表期刊NEUROCOMPUTING
ISSN0925-2312
2009
卷号72期号:10-12页码:2242-2248
收录类别SCI ; EI
EI收录号20091912074288
WOS记录号WOS:000266702300020
产权排序1
资助机构This work is supported by Natural Science Foundation of China (60835005, 60736018, 60771062), National Basic Research Program of China (2007CB311001). Fundation of State Key Laboratory of Robotics (RLO200811), Program for new century excellent talents in university (NCET-08-0147).
摘要In this paper, we proposed a local region structured noise reduction method for cortical optical imaging (01). In our method, block-designed task paradigm was employed. Canonical correlation analysis (CCA) technique was used to extract the underlying structured sources voxel by voxel. The response signals were detected among structured sources by surrogate test based on the reduced autoregression model (ST-RARM) technique. The power of structured noise was eliminated from original time series and then the data were reconstructed. Monte-Carlo simulation was applied to demonstrate the validity of our method. The results showed that our method was more efficient in activated voxel detection compared to the generally used methods PCA, DCT. Further, by using our method the phase knowledge of response signals was well preserved in the reconstructed data and hence a more accurate estimate was obtained. The final activity mapping was generated by utilizing the knowledge of both response amplitude and phase. The vein artifacts were efficiently reduced. Six sets of true 01 data collected from the hind-paw (HP) area of rat's cortex were processed and improved activity mappings were obtained.
语种英语
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文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/10135
专题机器人学研究室
作者单位1.College of Mechatronics and Automation, National University of Defense Technology, Hunan Changsha, 410073, China
2.State Key Laboratory of Robotics, Liaoning Shenyang, 110016, China
3.Neurophysiology Department, Xiangya Medical College, Central South University, Hunan Changsha, 410008, China
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GB/T 7714
Liu YD,Hu DW,Zhou ZT,et al. Local region structured noise reduction for cortical optical imaging[J]. NEUROCOMPUTING,2009,72(10-12):2242-2248.
APA Liu YD,Hu DW,Zhou ZT,&Liu FY.(2009).Local region structured noise reduction for cortical optical imaging.NEUROCOMPUTING,72(10-12),2242-2248.
MLA Liu YD,et al."Local region structured noise reduction for cortical optical imaging".NEUROCOMPUTING 72.10-12(2009):2242-2248.
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