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of 6
pro vyhledávání: '"Jonathan Mandel"'
Autor:
Keith St. Lawrence, William Pavlosky, Matthias Günther, Udunna C. Anazodo, Tracy Ssali, Jonathan Mandel, Frank S. Prato, Jonathan D. Thiessen, John Butler, R. Terry Thompson
Publikováno v:
Medical Biophysics Publications
Frontiers in Neuroscience
Frontiers in Neuroscience, Vol 8 (2015)
Frontiers in Neuroscience
Frontiers in Neuroscience, Vol 8 (2015)
PURPOSE: To evaluate a potential approach for improved attenuation correction (AC) of PET in simultaneous PET and MRI brain imaging, a straightforward approach that adds bone information missing on Dixon AC was explored. METHODS: Bone information der
Autor:
Aaron D. Ward, Derek W. Cool, Stephen E. Pautler, Joseph L. Chin, Glenn Bauman, Cesare Romagnoli, Suha Ghoul, Mena Gaed, Cathie Crukley, W. Thomas Hrinivich, Madeleine Moussa, Jonathan Mandel, Matthew Bastian-Jordan, Aaron Fenster, Eli Gibson, Jose A. Gomez
Publikováno v:
Medical Imaging: Digital Pathology
Purpose: Multiparametric magnetic resonance imaging (MPMRI) supports detection and staging of prostate cancer, but the image characteristics needed for tumor boundary delineation to support focal therapy have not been widely investigated. We quantifi
Autor:
Ashley Mercado, Aaron D. Ward, Jonathan I. Izawa, Lori Gardi, Aaron Fenster, David Tessier, Jonathan Mandel, Derek W. Cool, Cesare Romagnoli, Joseph L. Chin
Publikováno v:
Canadian Urological Association Journal. 10:342
Introduction: This study evaluates the clinical benefit of magnetic resonance-transrectal ultrasound (MR-TRUS) fusion biopsy over systematic biopsy between first-time and repeat prostate biopsypatients with prior atypical small acinar proliferation (
Publikováno v:
Ultrasound in medicinebiology. 27(7)
(Received 20 July 2000, in final form 30 March 2001) Spatial registration and fusion of ultrasound (US) images with other modalities may aid clinical interpretation. We implemented and evaluated on patient data an automated retrospective registration
Publikováno v:
Medical Imaging: Image Processing
To allow a more objective interpretation of 3D carotid bifurcation images, we have implemented and evaluated on patient data, automated volume registration of 3D magnetic resonance angiography (MRA), 3D power Doppler (PD) ultrasound, and 3D B-mode ul
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