TRAINING IN QUANTITATIVE MAGNETIC RESONANCE IMAGING Magnetic resonance imaging (MRI) has, since its inception over two decades ago, been used mainly 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. Among these are the sizing of vascular stenoses, the measurement of a perfusion deficit, or the evaluation of residual disease burden during regression of disease in response to therapeutic intervention in the treatment of tumors, white matter disease, etc. Moreover, for many diagnostic or staging problems, quantitation of an observation is not merely a better alternative to qualitative assessment, but the qualitative approach is entirely unsuited. Examples are non-focal systemic disorders such as osteoporosis where a quantitative measurement of some physiologic parameter, e.g., bone mineral density, 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. The problem is exacerbated by language barriers since the members of the exact sciences often have difficulties in effectively communicating with physicians, as their terminology is outside the scope of medicine. This project aims to train basic science students at the pre- and post-doctoral level in quantitative magnetic resonance methodology and, conversely, medical science trainees in the use of quantitative MR imaging 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 #
5T32EB000814-10
Application #
7248655
Study Section
Subcommittee G - Education (NCI)
Program Officer
Baird, Richard A
Project Start
1998-08-25
Project End
2008-06-30
Budget Start
2007-07-01
Budget End
2008-06-30
Support Year
10
Fiscal Year
2007
Total Cost
$93,452
Indirect Cost
Name
University of Pennsylvania
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Magland, Jeremy F; Li, Cheng; Langham, Michael C et al. (2016) Pulse sequence programming in a dynamic visual environment: SequenceTree. Magn Reson Med 75:257-65
Rodgers, Zachary B; Leinwand, Sarah E; Keenan, Brendan T et al. (2016) Cerebral metabolic rate of oxygen in obstructive sleep apnea at rest and in response to breath-hold challenge. J Cereb Blood Flow Metab 36:755-67
Stafford, Randall B; Woo, Myung-Kyun; Oh, Se-Hong et al. (2016) An Actively Decoupled Dual Transceiver Coil System for Continuous ASL at 7 T. Int J Imaging Syst Technol 26:106-115
Chiorazzo, Michael G; Bloch, Noah B; Popov, Anatoliy V et al. (2015) Synthesis and Evaluation of Cytosolic Phospholipase A(2) Activatable Fluorophores for Cancer Imaging. Bioconjug Chem 26:2360-70
Rodgers, Zachary B; Englund, Erin K; Langham, Michael C et al. (2015) Rapid T2- and susceptometry-based CMRO2 quantification with interleaved TRUST (iTRUST). Neuroimage 106:441-50
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
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
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
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

Showing the most recent 10 out of 35 publications