Magnetic resonance imaging (MRI) has, since its inception three decades ago, been by far the most complex but also the most versatile imaging technique since the possibilities by which the spin system can be manipulated are almost limitless. The technique's complexity and extraordinary richness therefore require rigorous training. Although inherently quantitative, MRI has been used largely as a qualitative imaging technique practiced by radiologists utilizing predominantly qualitative criteria for establishing a diagnosis or excluding disease. This approach is fraught with problems, its main disadvantage being the subjective nature of the result, i.e. sensitivity to reader experience and judgment. Many problems in diagnostic medicine require a quantitative assessment. Moreover, for many diagnostic or staging problems quantitation of an observation is not merely a better option but the qualitative approach is entirely unsuited. Examples are measurement of tissue perfusion, quantification of metabolite concentration by spectroscopic imaging or the assessment of non-focal systemic disorders such as Alzheimer's disease or metabolic bone disease where a quantitative measurement of some structural or functional parameter has to be made. In diagnostic imaging in general, and MRI in particular, quantitative approaches require the tools of post-processing of arrays of images, typically performed off-line on workstations. This process is multidisciplinary, requiring close cooperation among physicians, MR physicists, and computer scientists, which is not possible without effective cross- training. Physicists, engineers and computer scientists usually lack an understanding of the medical problem and are often unable to translate abstract concepts to the physician. This training program, for which continued support is sought, aims to train three predoctoral and three postdoctoral basic science trainees per year in quantitative MRI methodology focusing on MR image acquisition, reconstruction and postprocessing tools for diagnosis and treatment monitoring. Training modalities involve a combination of colloquia, structured teaching and hands-on laboratory training, with particular emphasis on preceptor-directed research. The training faculty consists of both basic scientists and physicians who have a record of successful multidisciplinary research training.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Institutional National Research Service Award (T32)
Project #
5T32EB000814-15
Application #
8291422
Study Section
Special Emphasis Panel (ZEB1-OSR-B (J1))
Program Officer
Baird, Richard A
Project Start
1998-08-25
Project End
2014-06-30
Budget Start
2012-07-01
Budget End
2014-06-30
Support Year
15
Fiscal Year
2012
Total Cost
$218,098
Indirect Cost
$13,360
Name
University of Pennsylvania
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Seifert, Alan C; Li, Cheng; Rajapakse, Chamith S et al. (2014) Bone mineral (31)P and matrix-bound water densities measured by solid-state (31)P and (1)H MRI. NMR Biomed 27:739-48
Rodgers, Zachary B; Jain, Varsha; Englund, Erin K et al. (2013) High temporal resolution MRI quantification of global cerebral metabolic rate of oxygen consumption in response to apneic challenge. J Cereb Blood Flow Metab 33:1514-22
Seifert, Alan C; Wright, Alexander C; Wehrli, Suzanne L et al. (2013) 31P NMR relaxation of cortical bone mineral at multiple magnetic field strengths and levels of demineralization. NMR Biomed 26:1158-66
Yotter, Rachel A; Doshi, Jimit; Clark, Vanessa et al. (2013) Memory decline shows stronger associations with estimated spatial patterns of amyloid deposition progression than total amyloid burden. Neurobiol Aging 34:2835-42
Bloy, Luke; Ingalhalikar, Madhura; Eavani, Harini et al. (2012) White matter atlas generation using HARDI based automated parcellation. Neuroimage 59:4055-63
Rajapakse, Chamith S; Leonard, Mary B; Bhagat, Yusuf A et al. (2012) Micro-MR imaging-based computational biomechanics demonstrates reduction in cortical and trabecular bone strength after renal transplantation. Radiology 262:912-20
Das, Sandhitsu R; Mechanic-Hamilton, Dawn; Pluta, John et al. (2011) Heterogeneity of functional activation during memory encoding across hippocampal subfields in temporal lobe epilepsy. Neuroimage 58:1121-30
Langham, Michael C; Li, Cheng; Magland, Jeremy F et al. (2011) Nontriggered MRI quantification of aortic pulse-wave velocity. Magn Reson Med 65:750-5
Liu, X Sherry; Zhang, X Henry; Rajapakse, Chamith S et al. (2010) Accuracy of high-resolution in vivo micro magnetic resonance imaging for measurements of microstructural and mechanical properties of human distal tibial bone. J Bone Miner Res 25:2039-50
Langham, Michael C; Jain, Varsha; Magland, Jeremy F et al. (2010) Time-resolved absolute velocity quantification with projections. Magn Reson Med 64:1599-606

Showing the most recent 10 out of 26 publications