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Health / Clinical diagnostics

Medical imaging

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Displaying 76 - 100 of 228

Characterization of 3-Dimensional Printing and Casting Materials for use in Computed Tomography and X-ray Imaging Phantoms

September 15, 2020
Author(s)
Bryan E. Yunker, Andrew Holmgren, Karl Stupic, J. L. Wagner, S Huddle, R Shandas, R. F. Weir, Katy Keenan, Edward Garboczi, Stephen E. Russek
Imaging phantoms are used to calibrate and validate the performance of medical computed tomography (CT) systems. Many new materials developed for three-dimensional (3D) printing processes may be useful in the direct printing or casting of biomimetic and

Characterization of 3-Dimensional Printing and Casting Materials for use in Magnetic Resonance Imaging Phantoms at 3 T

September 15, 2020
Author(s)
Bryan E. Yunker, Karl Stupic, J. L. Wagner, S Huddle, R Shandas, R. F. Weir, Stephen E. Russek, Katy Keenan
Imaging phantoms are used to calibrate and validate the performance of magnetic resonance imaging (MRI) systems. Many new materials have been developed for additive manufacturing (three-dimensional [3D] printing) processes that may be useful in the direct

The Art in Science of MicroTAS 2019†

July 28, 2020
Author(s)
Gregory A. Cooksey
The 2019 MicroTAS conference (the 23rd International Conference of Miniaturized Systems for Chemistry and Life Sciences) held in Basel, Switzerland, brought great opportunities to viewinspiring microscale compositions. Many of the best images were

Electromagnetics for Quantitative Magnetic Resonance Imaging

July 20, 2020
Author(s)
Stephen E. Russek, Karl F. Stupic, Joshua R. Biller, Michael A. Boss, Kathryn E. Keenan, Elizabeth Mirowski
Magnetic Resonance Imaging (MRI) is based on radio frequency (RF) interrogation of the human body at frequencies between 40 MHz to 300 MHz. An RF transmitter excites proton spin precession and then, in a manner analogous to an RF ID tag, the proton’s

T1 Mapping Performance and Measurement Stability: Results from the Multi-National T1MES (T1 Mapping and ECV Standardization) Phantom Program

May 7, 2020
Author(s)
Gabriella Captur, Abhiyan Bandari, Ye Yang, Richard James, Giulia Benedetti, Camilla Torlasco, Lewis Ricketts, Redha Boubertakh, Katy Keenan, Ruediger Bruehl, Bernd Itterman, Nasri Fatih, John Greenwood, Leonie Paulis, Chris Lawton, Chiara Bucciarelli-Ducci, Hildo Lamb, Richard Steeds, Steve Leung, Colin Berry, Sinitsyn Valentin, Andrew Flett, Charlotte de Lange, Francesco DeCobelli, Magalie Viallon, Pierre Croisille, David Higgins, Andreas Greiser, Wenjie Peng, Christian Hamilton-Craig, Wendy Strugnell, Tom Dresselaers, Andrea Barison, Dana Dawson, Andrew Taylor, Francois-Pierre Mongeon, Sven Plein, Daniel Messroghli, Mouaz Al-Mallah, Stuart Grieve, Massimo Lombardi, Jihye Jang, Michael Salerno, Nish Chaturvedi, Peter Kellman, David Bluemke, Reza Nezafat, Peter Gatehouse, James C. Moon

Field Compressed Sensing

January 17, 2020
Author(s)
Anthony B. Kos, Fabio C. Da Silva, Jason B. Coder, Craig W. Nelson, Grace E. Antonucci, Archita Hati
Imaging solutions based on wave scattering seek real-time performance, high dynamic range, and spatial accuracy at scales spanning from nanometers to thousands of kilometers. Compressed sensing algorithms use sparsity to reduce sample size during image

Towards Estimating the Uncertainty Associated with 3D Geometry Reconstructed from Medical Image Data

November 1, 2019
Author(s)
Marc Horner, Karim O. Genc, Stephen M. Luke, Todd M. Pietila, Ross T. Cotton, Benjamin Ache, Kevin C. Townsend, Zachary H. Levine
Patient-specific computational modeling is increasingly being used to assist with the visualization, planning and execution of medical treatments. This trend is placing more reliance on medical imaging to provide an accurate representation of anatomical

Standardization of I-124 by three liquid scintillation-based methods

August 9, 2019
Author(s)
Denis E. Bergeron, Leticia S. Pibida, Brian E. Zimmerman, Jeffrey T. Cessna, Ryan P. Fitzgerald
A solution of 124I was standardized for activity by 4πβ(LS)-γ(NaI) live-timed anticoincidence (LTAC) counting, with confirmatory measurements by triple-to-double coincidence ratio (TDCR) and CIEMAT-NIST efficiency tracing (CNET) liquid scintillation