B
Bragi Sveinsson
Researcher at Harvard University
Publications - 21
Citations - 250
Bragi Sveinsson is an academic researcher from Harvard University. The author has contributed to research in topics: Medicine & Magnetic resonance imaging. The author has an hindex of 7, co-authored 16 publications receiving 164 citations. Previous affiliations of Bragi Sveinsson include Stanford University.
Papers
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Journal ArticleDOI
A simple analytic method for estimating T2 in the knee from DESS.
TL;DR: A simplified relationship between the two DESS signals allows for rapid 3D T2 quantification with DESS that is accurate, yet also simple, and allows for immediate T2 estimation in cartilage during the MRI examination.
Journal ArticleDOI
Five-minute knee MRI for simultaneous morphometry and T2 relaxometry of cartilage and meniscus and for semiquantitative radiological assessment using double-echo in steady-state at 3T.
Akshay S. Chaudhari,Marianne S. Black,Susanne M. Eijgenraam,Wolfgang Wirth,Susanne Maschek,Bragi Sveinsson,Felix Eckstein,Edwin H.G. Oei,Garry E. Gold,Brian A. Hargreaves +9 more
TL;DR: Biomarkers for assessing osteoarthritis activity necessitate multiple MRI sequences with long acquisition times.
Journal ArticleDOI
Imaging and T 2 relaxometry of short-T 2 connective tissues in the knee using ultrashort echo-time double-echo steady-state (UTEDESS)
Akshay S. Chaudhari,Bragi Sveinsson,Catherine J. Moran,Emily J. McWalter,Ethan M. I. Johnson,Tao Zhang,Garry E. Gold,Brian A. Hargreaves +7 more
TL;DR: To develop a radial, double‐echo steady‐state (DESS) sequence with ultra‐short echo‐time (UTE) capabilities for T2 measurement of short‐T2 tissues along with simultaneous rapid, signal‐to‐noise ratio (SNR)‐efficient, and high‐isotropic‐resolution morphological knee imaging.
Journal ArticleDOI
Diagnostic Accuracy of Quantitative Multicontrast 5-Minute Knee MRI Using Prospective Artificial Intelligence Image Quality Enhancement.
Akshay S. Chaudhari,Murray J. Grissom,Zhongnan Fang,Bragi Sveinsson,Jin Hyung Lee,Garry E. Gold,Brian A. Hargreaves,Kathryn J. Stevens +7 more
TL;DR: qDESS prospectively enhanced with deep learning had strong inter-reader agreement with conventional knee MRI and near-equivalent diagnostic performance with respect to arthroscopy, and the ability of qDESS to automatically generate T2 maps increases sensitivity for cartilage abnormalities.
Journal ArticleDOI
Combined 5-minute double-echo in steady-state with separated echoes and 2-minute proton-density-weighted 2D FSE sequence for comprehensive whole-joint knee MRI assessment.
Akshay S. Chaudhari,Kathryn J. Stevens,Bragi Sveinsson,Bragi Sveinsson,Jeffrey P. Wood,Christopher F. Beaulieu,Edwin H.G. Oei,Jarrett Rosenberg,Feliks Kogan,Marcus T. Alley,Garry E. Gold,Brian A. Hargreaves +11 more
TL;DR: Clinical knee MRI protocols require upwards of 15 minutes of scan time, which is unacceptable for patients with chronic knee injuries.