C-arm CT imaging using the extended line-ellipse-line trajectory: seamless FBP reconstruction from real data

2020 ◽  
Author(s):  
Zijia Guo ◽  
Guenter Lauritsch ◽  
Andreas Maier ◽  
Frédéric Noo
Keyword(s):  
Real Data ◽  
Ct Imaging ◽  
Line Trajectory

C-arm CT imaging with the extended line-ellipse-line trajectory: first implementation on a state-of-the-art robotic angiography system

2020 ◽  
Vol 65 (18) ◽  
pp. 185016
Author(s):  
Zijia Guo ◽  
Günter Lauritsch ◽  
Andreas Maier ◽  
Patrick Kugler ◽  
Mohammad Islam ◽  
...  
Keyword(s):  
State Of The Art ◽  
Ct Imaging ◽  
Line Trajectory

1920: Variability in Size Measurement of Small Renal Masses on CT Imaging

2004 ◽  
Vol 171 (4S) ◽  
pp. 507-507 ◽  
Author(s):  
Sanoj P. Punnen ◽  
Massoom A. Haider ◽  
Fenella Moulding ◽  
Martin O'Malley ◽  
Gina Lockwood ◽  
...  
Keyword(s):  
Ct Imaging ◽  
Size Measurement ◽  
Small Renal Masses ◽  
Renal Masses

Detecting Random Responses in a Personality Scale Using IRT-Based Person-Fit Indices

2019 ◽  
Vol 35 (1) ◽  
pp. 126-136 ◽  
Author(s):  
Tour Liu ◽  
Tian Lan ◽  
Tao Xin
Keyword(s):  
Experimental System ◽  
Real Data ◽  
Fit Indices ◽  
Random Response ◽  
Person Fit ◽  
Index Method ◽  
Single Person ◽  
Person Fit Index ◽  
Random Responses ◽  
Response Behaviors

Abstract. Random response is a very common aberrant response behavior in personality tests and may negatively affect the reliability, validity, or other analytical aspects of psychological assessment. Typically, researchers use a single person-fit index to identify random responses. This study recommends a three-step person-fit analysis procedure. Unlike the typical single person-fit methods, the three-step procedure identifies both global misfit and local misfit individuals using different person-fit indices. This procedure was able to identify more local misfit individuals than single-index method, and a graphical method was used to visualize those particular items in which random response behaviors appear. This method may be useful to researchers in that it will provide them with more information about response behaviors, allowing better evaluation of scale administration and development of more plausible explanations. Real data were used in this study instead of simulation data. In order to create real random responses, an experimental test administration was designed. Four different random response samples were produced using this experimental system.

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