scholarly journals A linear, featured-data scheme for image reconstruction in time-domain fluorescence molecular tomography

2006 ◽  
Vol 14 (16) ◽  
pp. 7109 ◽  
Author(s):  
Feng Gao ◽  
Huijuan Zhao ◽  
Yukari Tanikawa ◽  
Yukio Yamada
Keyword(s):  
Image Reconstruction ◽  
Time Domain ◽  
Fluorescence Molecular Tomography ◽  
Data Scheme

Image Reconstruction in Fluorescence Molecular Tomography Based on Full Time-Resolved Scheme

2008 ◽  
Vol 28 (7) ◽  
pp. 1262-1268
Author(s):  
张丽敏 Zhang Limin ◽  
和慧园 He Huiyuan ◽  
高峰 Gao Feng ◽  
赵会娟 Zhao Huijuan
Keyword(s):  
Image Reconstruction ◽  
Full Time ◽  
Fluorescence Molecular Tomography ◽  
Time Resolved

scholarly journals Antenna Modeling and Reconstruction Accuracy of Time Domain-Based Image Reconstruction in Microwave Tomography

2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Andreas Fhager ◽  
Shantanu K. Padhi ◽  
Mikael Persson ◽  
John Howard
Keyword(s):  
Image Reconstruction ◽  
Time Domain ◽  
Tap Water ◽  
Antenna System ◽  
Scattering Data ◽  
Electromagnetic Model ◽  
Imaging Results ◽  
Highly Nonlinear ◽  
Modeling Errors ◽  
The Impact

Nonlinear microwave imaging heavily relies on an accurate numerical electromagnetic model of the antenna system. The model is used to simulate scattering data that is compared to its measured counterpart in order to reconstruct the image. In this paper an antenna system immersed in water is used to image different canonical objects in order to investigate the implication of modeling errors on the final reconstruction using a time domain-based iterative inverse reconstruction algorithm and three-dimensional FDTD modeling. With the test objects immersed in a background of air and tap water, respectively, we have studied the impact of antenna modeling errors, errors in the modeling of the background media, and made a comparison with a two-dimensional version of the algorithm. In conclusion even small modeling errors in the antennas can significantly alter the reconstructed image. Since the image reconstruction procedure is highly nonlinear general conclusions are very difficult to make. In our case it means that with the antenna system immersed in water and using our present FDTD-based electromagnetic model the imaging results are improved if refraining from modeling the water-wall-air interface and instead just use a homogeneous background of water in the model.

scholarly journals A Depth-recognizable Time-domain Fluorescence Molecular Tomography in Reflective Geometry

2021 ◽  
Author(s):  
Jiaju Cheng ◽  
PENG ZHANG ◽  
Chuangjian Cai ◽  
yang gao ◽  
Jie Liu ◽  
...  
Keyword(s):  
Time Domain ◽  
Fluorescence Molecular Tomography

Preliminary Results of Integrating Tikhonov’s Regularization in Forward-Backward Time-Stepping Technique for Object Detection

2016 ◽  
Vol 833 ◽  
pp. 170-175 ◽  
Author(s):  
Andrew Sia Chew Chie ◽  
Kismet Anak Hong Ping ◽  
Yong Guang ◽  
Ng Shi Wei ◽  
Nordiana Rajaee
Keyword(s):  
Image Reconstruction ◽  
Inverse Scattering ◽  
Time Domain ◽  
Regularization Method ◽  
Scattering Problem ◽  
Inverse Scattering Problem ◽  
Time Stepping ◽  
Ill Posed ◽  
Tikhonov’S Regularization

The inverse scattering in time domain known as Forward-Backward Time-Stepping (FBTS) technique is applied to determine the sizes, shape and location of the embedded objects. Tikhonov’s regularization method has been proposed in order to improve or solve the ill-posed of FBTS inverse scattering problem. The reconstructed results showed that FBTS technique can detect the presence of embedded objects. The reconstructed results of FBTS technique utilizing with the Tikhonov’s regularization method shown better results than the results only applied FBTS technique. Tikhonov’s regularization combined with FBTS technique to improve the quality of image reconstruction.

The image reconstruction for fluorescence molecular tomography via a non-uniform mesh

2019 ◽  
Vol 27 (1) ◽  
pp. 31-38
Author(s):  
Bin Wang ◽  
Pu Jiao ◽  
Huangjian Yi ◽  
Xin Cao ◽  
Fengjun Zhao ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Uniform Mesh ◽  
Fluorescence Molecular Tomography
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