Simultaneous high‐resolution cardiac T 1 mapping and cine imaging using model‐based iterative image reconstruction

2018 ◽  
Vol 81 (2) ◽  
pp. 1080-1091 ◽  
Author(s):  
Kirsten M. Becker ◽  
Jeanette Schulz‐Menger ◽  
Tobias Schaeffter ◽  
Christoph Kolbitsch
Keyword(s):  
High Resolution ◽  
Image Reconstruction ◽  
Cine Imaging ◽  
Iterative Image Reconstruction ◽  
Model Based

Detector response models for statistical iterative image reconstruction in high resolution PET

2000 ◽  
Vol 47 (3) ◽  
pp. 1168-1175 ◽  
Author(s):  
V.V. Selivanov ◽  
Y. Picard ◽  
J. Cadorette ◽  
S. Rodrigue ◽  
R. Lecomte
Keyword(s):  
High Resolution ◽  
Image Reconstruction ◽  
Detector Response ◽  
Iterative Image Reconstruction ◽  
Response Models

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.

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