Data-Driven Respiratory SPECT-Gating for Determination of Liver-Lung-Shunt Fraction

2021 ◽  
Author(s):  
P Ritt ◽  
K Seidl ◽  
M Cachovan ◽  
AH Vija ◽  
T Kuwert
Keyword(s):  
Data Driven ◽  
Shunt Fraction ◽  
Lung Shunt

Fast and accurate quantitative determination of the lung shunt fraction in hepatic radioembolization

2019 ◽  
Vol 64 (23) ◽  
pp. 235002
Author(s):  
Remco Bastiaannet ◽  
Sandra van der Velden ◽  
Marnix G E H Lam ◽  
Max A Viergever ◽  
Hugo W A M de Jong
Keyword(s):  
Quantitative Determination ◽  
Shunt Fraction ◽  
Lung Shunt

Influence of Time Delay on the Estimated Lung Shunt Fraction on 99mTc-Labeled MAA Scintigraphy for 90Y Microsphere Treatment Planning

2013 ◽  
pp. 1 ◽  
Author(s):  
Ruth De Gersem ◽  
Geert Maleux ◽  
Hubert Vanbilloen ◽  
Kristof Baete ◽  
Chris Verslype ◽  
...  
Keyword(s):  
Time Delay ◽  
Treatment Planning ◽  
Shunt Fraction ◽  
Lung Shunt

Data-driven modeling for determination of asphaltene stability condition in oil system

2018 ◽  
Vol 36 (11) ◽  
pp. 726-731
Author(s):  
Arash Kamari ◽  
Amir H. Mohammadi ◽  
Deresh Ramjugernath
Keyword(s):  
Stability Condition ◽  
Data Driven ◽  
Data Driven Modeling

scholarly journals Determination of Varying Group Sizes for Pooling Procedure

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Wenjun Xiong ◽  
Hongyu Lu ◽  
Juan Ding
Keyword(s):  
Group Size ◽  
Rare Diseases ◽  
Population Heterogeneity ◽  
Sequential Procedure ◽  
Data Driven ◽  
Equal Group ◽  
Essential Step ◽  
Available Information ◽  
Individual Information

Pooling is an attractive strategy in screening infected specimens, especially for rare diseases. An essential step of performing the pooled test is to determine the group size. Sometimes, equal group size is not appropriate due to population heterogeneity. In this case, varying group sizes are preferred and could be determined while individual information is available. In this study, we propose a sequential procedure to determine varying group sizes through fully utilizing available information. This procedure is data driven. Simulations show that it has good performance in estimating parameters.

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