scholarly journals Image reconstruction for novel time domain near infrared optical tomography: towards clinical applications

2020 ◽  
Vol 11 (8) ◽  
pp. 4723
Author(s):  
Jingjing Jiang ◽  
Aldo Di Costanzo Mata ◽  
Scott Lindner ◽  
Chao Zhang ◽  
Edoardo Charbon ◽  
...  
2020 ◽  
Vol 28 (7) ◽  
pp. 9860
Author(s):  
Wuwei Ren ◽  
Jingjing Jiang ◽  
Aldo Di Costanzo Mata ◽  
Alexander Kalyanov ◽  
Jorge Ripoll ◽  
...  

2017 ◽  
Author(s):  
Agah D. Garnadi

In the previous study, we developed the non-iterative image reconstruction based on diffusionequation.Within this research, we applied the same non-iterative algorithm scheme using radiative transfer equation. Basically, the non-iterative image reconstruction was a development of model based image reconstruction that implemented truncated singular value decomposition and L-curve analysis to solve the ill-posed problem.These algorithm reduces the computation time to reconstruct the cross sectional area.As part of the continuing development of agricultural produce quality control based on optical tomography, potato experiment was conducted to evaluate these two non-iterative algorithms. The object was illuminated by the near infrared source from 8 positions on object’s boundary.In this experiment, we vary the position and amount of epoxy as targets on the object then we analyze the residual value between measurement and reconstructed boundary data. The reconstructions were performed with continuous-wave domain.Furthermore, we compare the residual value fromdiffuse optical tomography and radiative transfer optical tomography. The result of this study indicated that these algorithmshave shown promising to detect the presence of epoxy on potato which is significant for agricultural produce quality control.


2009 ◽  
Vol 02 (02) ◽  
pp. 143-147 ◽  
Author(s):  
TING LI ◽  
WEITAO LI ◽  
ZHIYU QIAN

An image-reconstruction approach for optical tomography is presented, in which a two-layered BP neural network is used to distinguish the tumor location. The inverse problem is solved as optimization problem by Femlab software and Levenberg–Marquardt algorithm. The concept of the average optical coefficient is proposed in this paper, which is helpful to understand the distribution of the scattering photon from tumor. The reconstructive [Formula: see text] by the trained network is reasonable for showing the changes of photon number transporting inside tumor tissue. It realized the fast reconstruction of tissue optical properties and provided optical OT with a new method.


2021 ◽  
Author(s):  
Jingjing Jiang ◽  
Aldo Di Costanzo Mata ◽  
Scott Lindner ◽  
Edoardo Charbon ◽  
Martin Wolf ◽  
...  

2020 ◽  
Vol 11 (10) ◽  
pp. 5470
Author(s):  
Jingjing Jiang ◽  
Aldo Di Costanzo Mata ◽  
Scott Lindner ◽  
Edoardo Charbon ◽  
Martin Wolf ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document