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Dive into the research topics where Josef Phillip Debbins is active.

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Featured researches published by Josef Phillip Debbins.


Journal of Magnetic Resonance Imaging | 2008

The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods

Clifford R. Jack; Matt A. Bernstein; Nick C. Fox; Paul M. Thompson; Gene E. Alexander; Danielle Harvey; Bret Borowski; Paula J. Britson; Jennifer L. Whitwell; Chadwick P. Ward; Anders M. Dale; Joel P. Felmlee; Jeffrey L. Gunter; Derek L. G. Hill; Ronald J. Killiany; Norbert Schuff; Sabrina Fox-Bosetti; Chen Lin; Colin Studholme; Charles DeCarli; Gunnar Krueger; Heidi A. Ward; Gregory J. Metzger; Katherine T. Scott; Richard Philip Mallozzi; Daniel James Blezek; Joshua R. Levy; Josef Phillip Debbins; Adam S. Fleisher; Marilyn S. Albert

The Alzheimers Disease Neuroimaging Initiative (ADNI) is a longitudinal multisite observational study of healthy elders, mild cognitive impairment (MCI), and Alzheimers disease. Magnetic resonance imaging (MRI), (18F)‐fluorodeoxyglucose positron emission tomography (FDG PET), urine serum, and cerebrospinal fluid (CSF) biomarkers, as well as clinical/psychometric assessments are acquiredat multiple time points. All data will be cross‐linked and made available to the general scientific community. The purpose of this report is to describe the MRI methods employed in ADNI. The ADNI MRI core established specifications thatguided protocol development. A major effort was devoted toevaluating 3D T1‐weighted sequences for morphometric analyses. Several options for this sequence were optimized for the relevant manufacturer platforms and then compared in a reduced‐scale clinical trial. The protocol selected for the ADNI study includes: back‐to‐back 3D magnetization prepared rapid gradient echo (MP‐RAGE) scans; B1‐calibration scans when applicable; and an axial proton density‐T2 dual contrast (i.e., echo) fast spin echo/turbo spin echo (FSE/TSE) for pathology detection. ADNI MRI methods seek to maximize scientific utility while minimizing the burden placed on participants. The approach taken in ADNI to standardization across sites and platforms of the MRI protocol, postacquisition corrections, and phantom‐based monitoring of all scanners could be used as a model for other multisite trials. J. Magn. Reson. Imaging 2008.


Journal of Magnetic Resonance Imaging | 2004

Cardiac magnetic resonance parallel imaging at 3.0 Tesla: Technical feasibility and advantages

Kiaran P. McGee; Josef Phillip Debbins; Ed B. Boskamp; LeRoy Blawat; Lisa C. Angelos; Kevin F. King

To quantify changes in signal‐to‐noise ratio (SNR), contrast‐to‐noise ratio (CNR), specific absorption rate (SAR), RF power deposition, and imaging time in cardiac magnetic resonance imaging with and without the application of parallel imaging at 1.5 T and 3.0 T.


Archive | 2000

System architecture for medical imaging systems

William J. Balloni; Josef Phillip Debbins; Robert Holden Haworth; Paul E. Licato; Graeme C. McKinnon; Bo J. Pettersson; Lawrence Edward Ploetz; Mark T. Radick


Archive | 2001

Method and apparatus for managing workflow in prescribing and processing medical images

Scott Eugene Trevino; Ranjeeta Singh; Josef Phillip Debbins; Paul E. Licato


Archive | 1999

MR imaging system with interactive image contrast control

Josef Phillip Debbins; Roshy James Waukesha Francis; Richard J. Prorok


Archive | 2000

Method and apparatus for remote or collaborative control of an imaging system

William J. Balloni; Josef Phillip Debbins; Kristine Louise Gould; Robert Holden Haworth; Thomas S. Hlaban


Archive | 1998

Real-time MR section cross-reference on replaceable MR localizer images

Josef Phillip Debbins; William J. Balloni; Paul E. Licato


Archive | 1999

MR imaging system with interactive image contrast control over a network

Josef Phillip Debbins; Roshy James Waukesha Francis; Richard J. Prorok; Lawrence Edward Brookfield Ploetz


Archive | 1999

MR imaging system with interactive MR geometry prescription control

Josef Phillip Debbins; Richard J. Prorok; William J. Balloni


Archive | 1998

Method for using three points to define a 2D MR imaging section

Josef Phillip Debbins; Stephen J. Riederer; Christopher Judson Hardy; Robert David Darrow

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Anders M. Dale

University of California

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