Planning percutaneous interventions with optical flow ratio: “niu” odds in favour of imaging in the year of the Ox

2021 ◽  
Vol 17 (12) ◽  
pp. e958-e960
Author(s):  
Juan Luis Gutiérrez-Chico
2020 ◽  
Vol 84 (12) ◽  
pp. 2253-2258
Author(s):  
Hiroki Emori ◽  
Takashi Kubo ◽  
Yasutsugu Shiono ◽  
Yasushi Ino ◽  
Kunihiro Shimamura ◽  
...  

2021 ◽  
Vol 17 (12) ◽  
pp. e989-e998
Author(s):  
Daixin Ding ◽  
Wei Yu ◽  
Hélène Tauzin ◽  
Giovanni Luigi De Maria ◽  
Peng Wu ◽  
...  

2020 ◽  
Vol 14 ◽  
Author(s):  
Jelmer Westra ◽  
Shengxian Tu

Fractional flow reserve (FFR)-guided percutaneous coronary intervention (PCI) improves clinical outcome compared with angiography-guided PCI. Advances in computational technology have resulted in the development of solutions, enabling fast derivation of FFR from imaging data in the catheterization laboratory. The quantitative flow ratio is currently the most validated approach to derive FFR from invasive coronary angiography, while the optical flow ratio allows faster and more automation in FFR computation from intracoronary optical coherence tomography. The use of quantitative flow ratio and optical flow ratio has the potential for swift and safe identification of lesions that require revascularization, optimization of PCI, evaluation of plaque features, and virtual planning of PCI.


2020 ◽  
Vol 27 (4) ◽  
pp. 350-361 ◽  
Author(s):  
Juan Luis Gutiérrez-Chico ◽  
Yundai Chen ◽  
Wei Yu ◽  
Daixin Ding ◽  
Jiayue Huang ◽  
...  

2005 ◽  
Vol 173 (4S) ◽  
pp. 439-440
Author(s):  
Erich Lang ◽  
Raju Thomas ◽  
Rodney Davis ◽  
S. Florman ◽  
Erik P. Castle ◽  
...  

2005 ◽  
Vol 44 (S 01) ◽  
pp. S46-S50 ◽  
Author(s):  
M. Dawood ◽  
N. Lang ◽  
F. Büther ◽  
M. Schäfers ◽  
O. Schober ◽  
...  

Summary:Motion in PET/CT leads to artifacts in the reconstructed PET images due to the different acquisition times of positron emission tomography and computed tomography. The effect of motion on cardiac PET/CT images is evaluated in this study and a novel approach for motion correction based on optical flow methods is outlined. The Lukas-Kanade optical flow algorithm is used to calculate the motion vector field on both simulated phantom data as well as measured human PET data. The motion of the myocardium is corrected by non-linear registration techniques and results are compared to uncorrected images.


CICTP 2020 ◽  
2020 ◽  
Author(s):  
Tao Chen ◽  
Linkun Fan ◽  
Xuchuan Li ◽  
Congshuai Guo ◽  
Miaomiao Qiao
Keyword(s):  

Liquidity ◽  
2017 ◽  
Vol 6 (1) ◽  
pp. 1-11
Author(s):  
Nurlis Azhar ◽  
Helmi Chaidir

This study was conducted to examine the effect of Free Cash Flow Ratio, Debt Equity Ratio (DER), Institutional Ownership, Employee Welfare and Price Earning Ratio (PER) to Divident Payout Ratio (Parliament) partially on manufacturing companies listed on Indonesia Stock Exchange period 2011-2015. In addition, to test the feasibility of regression model, the influence of Free Cash Flow Ratio, Debt Equity Ratio (DER), Institutional Ownership, Employee Welfare and Price Earning Ratio (PER) to Divident Payout Ratio (DPR) simultaneously at manufacturing company listed on Bursa Indonesia Securities period 2011-2015. The population in this study are 146 manufacturing companies that have been and still listed in Indonesia Stock Exchange period 2011-2013. The sampling technique used was purposive sampling and obtained sample of 42 companies. Data analysis technique used is by using multiple linear regression test. The results showed that Free Cash Flow Ratio, no significant effect on Divident Payout Ratio (DPR). Debt Equity Ratio (DER) has a negative and significant influence on Divident Payout Ratio (DPR), Institutional Ownership has a significant positive effect on Divident Payout Ratio (DPR), Employee Welfare and Price Earning Ratio (PER) has a positive and significant influence on the Divident Payout Ratio ). Simultaneously Free Cash Flow Ratio, Debt Equity Ratio (DER), Institutional Ownership, Employee Welfare and Price Earning Ratio (PER) give effect to Divident Payout Ratio. The prediction ability of the five variables to the Divident Payout Ratio (DPR) is 21.3% as indicated by the adjusted R square of 0.271 while the remaining 79.7% is influenced by other factors not included in the research model.


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