| 机械与能源工程 | 
									
										
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    					| 自适应双重点阵DOT图像重建 | 
  					 
  					  										
						| 王嵩1, 上田之雄2, 山下丰2, 刘华锋1 | 
					 
															
					1.浙江大学 现代光学仪器国家重点实验室,浙江 杭州 310027;2.日本滨松光子学株式会社中央研究所, 
静冈县 滨松市 430-8587 | 
					 
										
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    					| Selfadoptive dual node-set DOT image reconstruction | 
  					 
  					  					  					
						| WANG-Song1, UEDA Yukio2, YAMASHITA Yutaka2, LIU Hua-feng1 | 
					 
															
						1. State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China; 
2. Central Research Laboratory of Hamamatsu Photonics K.K., Hamamatsu,Shizuoka  4308587, Japan | 
					   
									 
				
				
					
						
							
								
									
									
									
									
									 
          
          
            
             
												
												
												
												
												
												引用本文: 
																													
																																王嵩, 上田之雄, 山下丰, 刘华锋. 自适应双重点阵DOT图像重建[J]. J4, 2013, 47(1): 102-108.	
																															 
																																								     												                                                    																													
																																WANG-Song, UEDA Yukio, YAMASHITA Yutaka, LIU Hua-feng. Selfadoptive dual node-set DOT image reconstruction. J4, 2013, 47(1): 102-108.	
																															  
																												
														链接本文: 
															
																																	
																	http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2013.01.015
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																http://www.zjujournals.com/eng/CN/Y2013/V47/I1/102
														    
														   
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[15] SCHWEIGER M. GPU-accelerated finite element method for modeling light transport in diffuse optical tomography [J]. International Journal of Biomedical Imaging, 2011, 2011: 403-892.  | 
															   
																													 
									             
									           
             
			            			 
			 
             
												
											    	
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