Showing results (1571-1580 of 1,644) with videos related to

Sort By:
Pageof 165
Magma (New York, N.Y.)|September 10, 2025
RF phase modulation improves quantitative transient state sequences under constrained conditionsMiha Fuderer, Hongyan Liu, Oscar van der Heide, et al.
Magma (New York, N.Y.)|September 13, 2025
Upright 0.5 T open MR defaecating proctography proof of concept study: the inter- and intra-rater variability of pelvic floor measures using seated proctographyRashed Sobhan, Paul M Glover, Penny A Gowland, et al.
Magma (New York, N.Y.)|August 19, 2025
Fatty liver regeneration after partial hepatectomy: an experimental study based on intravoxel incoherent motion and T2* mapping MRIXuyang Wang, Caixin Qiu, Xinzhe Du, et al.
Magma (New York, N.Y.)|June 23, 2025
Comparison between fast-interrupted steady-state (FISS) and rapid water-excitation pulses for fat signal suppression in free-running whole-heart MRI at 1.5 TYasaman Safarkhanlo, Jérôme Yerly, Mariana B L Falcão, et al.
Magma (New York, N.Y.)|June 21, 2025
Open-source cardiac magnetic resonance fingerprintingPatrick Schuenke, Catarina Redshaw Kranich, Max Lutz, et al.
Magma (New York, N.Y.)|June 2, 2025
A dedicated phantom for exploring the interplay of fat and paramagnetic substances in quantitative susceptibility mappingSimon Graf, Josefine Trapp, Maik Rothe, et al.
Magma (New York, N.Y.)|May 30, 2025
Radial Hadamard-encoded 19F-MRIKian Tadjalli Mehr, Johannes Fischer, Felix Spreter, et al.
Magma (New York, N.Y.)|February 22, 2024
Late/delayed gadolinium enhancement in MRI after intravenous administration of extracellular gadolinium-based contrast agents: is it worth waiting?Marco Parillo, Carlo Augusto Mallio, Ilona A Dekkers, et al.
Magma (New York, N.Y.)|February 13, 2024
Linearity and bias of proton density fat fraction across the full dynamic range of 0-100%: a multiplatform, multivendor phantom study using 1.5T and 3T MRI at two sitesHouchun H Hu, Henry Szu-Meng Chen, Diego Hernando
Magma (New York, N.Y.)|July 23, 2024
Improved quantitative parameter estimation for prostate T2 relaxometry using convolutional neural networksPatrick J Bolan, Sara L Saunders, Kendrick Kay, et al.
Pageof 165