The following publications are possibly variants of this publication:
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- Comparison of benchtop pressure gradient measurements in 3D printed patient specific cardiac phantoms with CT-FFR and computational fluid dynamic simulationsKelsey N. Sommer, Lauren M. Shepard, Vijay Iyer, Erin Angel, Michael F. Wilson, Frank J. Rybicki, Dimitrios Mitsouras, Kanako Kunishima Kumamaru, Stephen Rudin, Ciprian N. Ionita. mibam 2019: [doi]
- Challenges in hemodynamics assessment in complex neurovascular geometries using computational fluid dynamics and benchtop flow simulation in 3D printed patient-specific phantomsEric Paccione, Ciprian N. Ionita. mibam 2021: [doi]
- Initial testing of a 3D printed perfusion phantom using digital subtraction angiographyRachel P. Wood, Parag Khobragade, Leslie Ying, Kenneth V. Snyder, David S. Wack, Daniel R. Bednarek, Stephen Rudin, Ciprian N. Ionita. mibam 2015: [doi]
- Use of patient specific 3D printed neurovascular phantoms to evaluate the clinical utility of a high resolution x-ray imagerS. V. Setlur Nagesh, M. Russ, Ciprian N. Ionita, Daniel R. Bednarek, Stephen Rudin. mibam 2017: [doi]
- 3D printed cardiovascular patient specific phantoms used for clinical validation of a CT-derived FFR diagnostic softwareKelsey N. Sommer, Lauren M. Shepard, Nitant Vivek Karkhanis, Vijay Iyer, Erin Angel, Michael F. Wilson, Frank J. Rybicki, Dimitrios Mitsouras, Stephen Rudin, Ciprian N. Ionita. mibam 2018: [doi]
- Initial investigations of x-ray particle imaging velocimetry (X-PIV) in 3D printed phantoms using 1000 fps High-Speed Angiography (HSA)Jordan M. Krebs, Allison Shields, Abhinandan Sharma, Lauren M. Shepard, Ciprian N. Ionita, Daniel R. Bednarek, Stephen Rudin. mibam 2020: 1131714 [doi]