Scatter correction in CBCT with an offset detector through a deconvolution method using data consistency

2016 ◽  
Author(s):  
Changhwan Kim ◽  
Miran Park ◽  
Hoyeon Lee ◽  
Seungryong Cho
Keyword(s):  
Scatter Correction ◽  
Data Consistency ◽  
Deconvolution Method ◽  
Using Data

scholarly journals Suppressing Multi-Channel Ultra-Low-Field MRI Measurement Noise Using Data Consistency and Image Sparsity

PLoS ONE ◽  
2013 ◽  
Vol 8 (4) ◽  
pp. e61652 ◽  
Author(s):  
Fa-Hsuan Lin ◽  
Panu T. Vesanen ◽  
Yi-Cheng Hsu ◽  
Jaakko O. Nieminen ◽  
Koos C. J. Zevenhoven ◽  
...  
Keyword(s):  
Measurement Noise ◽  
Data Consistency ◽  
Low Field ◽  
Low Field Mri ◽  
Using Data

scholarly journals An analysis of deconvolution: Modeling reflectivity by fractionally integrated noise

Geophysics ◽  
1999 ◽  
Vol 64 (4) ◽  
pp. 1093-1107 ◽  
Author(s):  
M. M. Saggaf ◽  
M. Nafi Toksöz
Keyword(s):  
White Noise ◽  
Well Logs ◽  
Noise Model ◽  
Reflection Coefficients ◽  
Deconvolution Method ◽  
Spectral Character ◽  
White Noise Process ◽  
Process Study ◽  
Using Data ◽  
Special Case

Reflection coefficients are observed in nature to have stochastic behavior that departs significantly from the white‐noise model. Conventional deconvolution methods, however, assume reflectivity to be a white‐noise process. In this paper we analyze the deconvolution process, study the implications of the assumption of white noise, and show that the conventional operator can recover only the white component of reflectivity. A new stochastic model, fractionally integrated noise, is proposed for modeling reflectivity—a model that more closely approximates its spectral character and that encompasses white noise as a special case. We discuss different techniques to generalize the conventional deconvolution method based on the new model in order to handle reflectivity that is not white and compare the results of the conventional and generalized filters using data derived from well logs.

Time-of-flight PET time calibration using data consistency

2018 ◽  
Vol 63 (10) ◽  
pp. 105006 ◽  
Author(s):  
Michel Defrise ◽  
Ahmadreza Rezaei ◽  
Johan Nuyts
Keyword(s):  
Time Of Flight ◽  
Data Consistency ◽  
Time Calibration ◽  
Using Data

Polar Magnetic Field Reversals of the Sun in Maunder Minimum

2000 ◽  
Vol 179 ◽  
pp. 193-196
Author(s):  
V. I. Makarov ◽  
A. G. Tlatov
Keyword(s):  
Magnetic Field ◽  
Maunder Minimum ◽  
The Sun ◽  
Annual Rings ◽  
Field Reversal ◽  
Polar Magnetic Field ◽  
Pine Trees ◽  
Using Data ◽  
Magnetic Field Reversal

AbstractA possible scenario of polar magnetic field reversal of the Sun during the Maunder Minimum (1645–1715) is discussed using data of magnetic field reversals of the Sun for 1880–1991 and the14Ccontent variations in the bi-annual rings of the pine-trees in 1600–1730 yrs.

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