Daniel Steines
Stanford University
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Publication
Featured researches published by Daniel Steines.
Journal of Magnetic Resonance Imaging | 2004
Hiroshi Yoshioka; Kathryn J. Stevens; Brian A. Hargreaves; Daniel Steines; Mark C. Genovese; Michael F. Dillingham; Carl S. Winalski; Philipp Lang
To compare signal‐to‐noise ratios (S/N) and contrast‐to‐noise ratios (C/N) in various MR sequences, including fat‐suppressed three‐dimensional spoiled gradient‐echo (SPGR) imaging, fat‐suppressed fast spin echo (FSE) imaging, and fat‐suppressed three‐dimensional driven equilibrium Fourier transform (DEFT) imaging, and to determine the diagnostic accuracy of these imaging sequences for detecting cartilage lesions in osteoarthritic knees, as compared with arthroscopy.
Journal of Magnetic Resonance Imaging | 2003
Hiroshi Yoshioka; Marcus T. Alley; Daniel Steines; Kathryn J. Stevens; Erika Rubesova; Mark C. Genovese; Michael F. Dillingham; Philipp Lang
To compare three‐dimensional (3D) spatial‐spectral (SS) spoiled gradient‐recalled acquisition in the steady state (SPGR) imaging with fat‐suppressed 3D SPGR sequences in MR imaging of articular cartilage of the knee joint in patients with osteoarthritis.
Radiologe | 2000
Philipp Lang; Hiroshi Yoshioka; Daniel Steines; I.-M. Nöbauer-Huhmann; H. Imhof
ZusammenfassungDie MRT ist die beste verfügbare Untersuchungsmethode zur Darstellung des normalen und geschädigten Gelenkknorpels. Sie gibt nicht nur Aufschluss über die Morphologie des geschädigten Areals, sondern auch über die biochemische Zusammensetzung des Gelenkknorpels. Neue Bildverarbeitungstechniken wie die dreidimensionale Erfassung/Darstellung der Knorpeldicke werden bei der Entwicklung einer automatisierten Analyse des Knorpelverlustes helfen. Diese Techniken sind auch ideal zur Verlaufsbeobachtung von Patienten, die sich einer Behandlung mit knorpelregenerierenden Substanzen unterziehen.AbstractMRI is the most accurate noninvasive technique available for assessment of normal articular cartilage and cartilage lesions. MRI cannot only provide morphologic information about the area of damage, but can also provide unique insight into the biochemical composition of the articular cartilage. New image processing techniques such as three-dimensional mapping of cartilage thickness will help to establish automated analysis of cartilage loss. Theses techniques are ideally suited for monitoring patients who undergo treatment with new chondroregenerative drugs.
Archive | 2011
Wolfgang Fitz; Philipp Lang; Raymond A. Bojarski; Daniel Steines
Archive | 2003
Aaron Berez; Wolfgang Fitz; Philipp Lang; Daniel Steines; Konstantinos Tsougarakis; Rene Vargas-Voracek; Cecily Anne Snyder
Archive | 2008
Philipp Lang; Daniel Steines
Archive | 2003
Philipp Lang; Daniel Steines; Hacene Bouadi; David Miller; Barry J. Linder; Cecily Anne Snyder
Archive | 2007
Philipp Lang; Daniel Steines
Archive | 2012
Raymond A. Bojarski; Nam Chao; John Slamin; Thomas Minas; Philipp Lang; Wolfgang Fitz; Daniel Steines; Terrance Wong
Archive | 2004
Albert G. Burdulis; Wolfgang Fitz; Phillipp Lang; Daniel Steines; Konstantinos Tsougarakis; Rene Vargas-Voracek; Hacene Bouadi; Cecily Anne O'regan; David Miller