scholarly journals Multimodal imaging combining time-domain near-infrared optical tomography and continuous-wave fluorescence molecular tomography

2020 ◽  
Vol 28 (7) ◽  
pp. 9860
Author(s):  
Wuwei Ren ◽  
Jingjing Jiang ◽  
Aldo Di Costanzo Mata ◽  
Alexander Kalyanov ◽  
Jorge Ripoll ◽  
...  
Keyword(s):  
Time Domain ◽  
Multimodal Imaging ◽  
Near Infrared ◽  
Continuous Wave ◽  
Optical Tomography ◽  
Fluorescence Molecular Tomography

Boundary Data Analysis of Continuous Wave Domain Diffuse Optical Tomography with Structured Refined Mesh Algorithm for Product Quality Control

2015 ◽  
Vol 771 ◽  
pp. 174-178
Author(s):  
Vebi Nadhira ◽  
Deddy Kurniadi ◽  
Endang Juliastuti ◽  
T. A. Yudha ◽  
Kurniadi Budiono
Keyword(s):  
Quality Control ◽  
Product Quality ◽  
Near Infrared ◽  
Continuous Wave ◽  
Infrared Detector ◽  
Optical Tomography ◽  
Diffuse Optical Tomography ◽  
Product Quality Control ◽  
Infrared Source ◽  
Boundary Parameter

Diffuse optical tomography is promising technology for non destructive evaluation on product quality control. In order to improve the forward sensitivity, structured refine mesh method was applied on continuous wave domain diffuse optical tomography imaging. This study was conducted on numerical and phantom object. These objects were illuminated by the near infrared source from object’s boundary. To obtain the boundary parameter data, a set of near infrared detector were placed on the periphery of the object. To validate our proposed forward analysis method, boundary parameter data of simulation are shown in comparison with that of experiment. In this study, we vary the position and the value of optical coefficient of defect on the object then we analyze the forward problem sensitivity. The result of this study indicated that continuous wave domain-diffuse optical tomography is promising for product quality control.

scholarly journals Non-Iterative Model Based Image Reconstruction of Diffuse and Radiative Transfer Optical Tomography in Quality Control on Agricultural Produce Studies

2017 ◽  
Author(s):  
Agah D. Garnadi
Keyword(s):  
Quality Control ◽  
Image Reconstruction ◽  
Radiative Transfer ◽  
Near Infrared ◽  
Continuous Wave ◽  
Optical Tomography ◽  
Residual Value ◽  
Iterative Image Reconstruction ◽  
Model Based ◽  
Agricultural Produce

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.

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 ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Time Domain ◽  
Near Infrared ◽  
Optical Tomography ◽  
Clinical Applications

scholarly journals A Near-Infrared Optical Tomography System Based on Photomultiplier Tube

2007 ◽  
Vol 2007 ◽  
pp. 1-9 ◽  
Author(s):  
Huacheng Feng ◽  
Jing Bai ◽  
Xiaolei Song ◽  
Gang Hu ◽  
Junjie Yao
Keyword(s):  
Breast Cancer ◽  
Spectral Range ◽  
Near Infrared ◽  
Continuous Wave ◽  
Imaging System ◽  
Optical Tomography ◽  
Diffuse Optical Tomography ◽  
Experimental Results ◽  
Photomultiplier Tube ◽  
Tomography System

Diffuse optical tomography (DOT) is a rapidly growing discipline in recent years. It plays an important role in many fields, such as detecting breast cancer and monitoring the cerebra oxygenation. In this paper, a relatively simple, inexpensive, and conveniently used DOT system is presented in detail, in which only one photomultiplier tube is employed as the detector and an optical multiplexer is used to alter the detector channels. The 32-channel imager is consisted of 16-launch fibers and 16-detector fibers bundles, which works in the near-infrared (NIR) spectral range under continuous-wave (CW) model. The entire imaging system can work highly automatically and harmoniously. Experiments based on the proposed imaging system were performed, and the desired results can be obtained. The experimental results suggested that the proposed imaging instrumentation is effective.

scholarly journals 25 HZ SAMPLE RATE TIME-DOMAIN NEAR-INFRARED OPTICAL TOMOGRAPHY BASED ON SPAD-CAMERA IMAGES TISSUE HEMODYNAMIC

2021 ◽  
Author(s):  
Jingjing Jiang ◽  
Aldo Di Costanzo Mata ◽  
Scott Lindner ◽  
Edoardo Charbon ◽  
Martin Wolf ◽  
...  
Keyword(s):  
Time Domain ◽  
Near Infrared ◽  
Optical Tomography ◽  
Sample Rate

scholarly journals Dynamic time domain near-infrared optical tomography based on a SPAD camera

2020 ◽  
Vol 11 (10) ◽  
pp. 5470
Author(s):  
Jingjing Jiang ◽  
Aldo Di Costanzo Mata ◽  
Scott Lindner ◽  
Edoardo Charbon ◽  
Martin Wolf ◽  
...  
Keyword(s):  
Time Domain ◽  
Near Infrared ◽  
Optical Tomography ◽  
Dynamic Time
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