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Daniel R. Bednarek
Researcher at University at Buffalo
Publications - 303
Citations - 2786
Daniel R. Bednarek is an academic researcher from University at Buffalo. The author has contributed to research in topics: Detector & Imaging phantom. The author has an hindex of 27, co-authored 281 publications receiving 2576 citations. Previous affiliations of Daniel R. Bednarek include Health and Safety Executive & New York University.
Papers
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Proceedings ArticleDOI
Challenges and limitations of patient-specific vascular phantom fabrication using 3D Polyjet printing
Ciprian N. Ionita,Maxim Mokin,Nicole Varble,Daniel R. Bednarek,Jianping Xiang,Kenneth V. Snyder,Adnan H. Siddiqui,Elad I. Levy,Hui Meng,Stephen Rudin +9 more
TL;DR: The accuracy of the printed models was very good: distance analysis showed average differences of 120 μm between the patient and the phantom reconstructed volume dimensions, and most errors were due to residual support material left in the lumen of the phantom.
Journal ArticleDOI
Accurate characterization of image intensifier distortion.
TL;DR: Image intensifier distortion due to photocathode curvature and electron optics is shown to be approximated by a simple two parameter odd-power polynomial, found to be far better than that of two other one parameter characterizations of distortion.
Journal ArticleDOI
Generalizing the MTF and DQE to include x-ray scatter and focal spot unsharpness: application to a new microangiographic system
TL;DR: The results show that there are tradeoffs in the choice of the different system parameters; therefore this methodology of studying the imaging system as a whole could provide guidance in system design.
Journal ArticleDOI
Self-calibration of a cone-beam micro-CT system.
V Patel,Ravishankar Chityala,Kenneth R. Hoffmann,Ciprian N. Ionita,Daniel R. Bednarek,Stephen Rudin +5 more
TL;DR: Methods to calibrate a rotary-stage CB micro-CT (CBmicroCT) system using only the images acquired of the object to be reconstructed, i.e., without use of calibration objects are presented, which obviates calibration runs and provides quality control data for each data set.
Journal ArticleDOI
Region of interest fluoroscopy.
Stephen Rudin,Daniel R. Bednarek +1 more
TL;DR: A new imaging approach which reduces the number of photons exposing the patient outside a region of interest (ROI), while allowing the photon fluence to be maintained or increased in the ROI, may make more optimal use of the total integral radiation dose to the patient as well as enable increased contrast and reduced artifacts in theROI.