The training of quantitative basic scientists in clinically-related imaging science is increasingly important. Excellent imaging sciences are well represented at Penn in multiple schools, but no formal integration of efforts in training existed, nor was there a formal clinical component to the training until the recent creation of the Training Program in Biomedical Imaging and Informational Sciences. Established in 2006 under the auspices of the HHMI-NIBIB Interfaces Initiative, the program represents a partnership led by the Institute for Medicine and Engineering and the Department of Radiology in collaboration with many other departments across multiple Schools. Our premise is that the most successful research and technologies in quantitative imaging science are those that integrate clinical relevance, mathematical rigor, and engineering finesse. Accordingly, the new program embraces strong clinical exposure alongside analytical science. The objective is to develop a new kind of interdisciplinary training by ensuring that students attain a level of integration that would allow them to become the next generation of leaders in hypothesis-driven, clinically focused biomedical imaging research. A new curriculum, the doctoral foundation, will provide 18 months of vertical integration of the core didactic elements of biomedicine and basic science education in biomedical imaging through 4 components, two of them Foundational, followed by Integrative and Professional components. In the first, Foundations in Biomedical Science (2 courses), students will participate in modified modules 1 and 2 of the medical student curriculum that teaches the Core Principles of Medicine (including Gross Anatomy) and a 12-month sequence of organ systems medicine, Integrative Systems and Diseases. This will be complemented by 4 new courses in Foundations of Image Science: Molecular Imaging, Biomedical Image Analysis, Fundamental Techniques of Imaging, and Mathematics of Medical Imaging &Measurements. The third component is an Integrative Module: Foundations of Radiology and a Biomedical Image Sciences Seminar course. The fourth component is Professional Training: Responsible Conduct of Research, Teaching Practicum, Patient-Oriented Research Training, Research 'Survival'rough the laboratories of the participating faculty. To ensure that the thesis research is directed to translational medicine through the solution of discrete clinical problems, trainees will be co-advised by members f the clinical and basic science faculty.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Institutional National Research Service Award (T32)
Project #
5T32EB009384-04
Application #
8249900
Study Section
Special Emphasis Panel (ZEB1-OSR-E (J1))
Program Officer
Baird, Richard A
Project Start
2009-04-01
Project End
2014-03-31
Budget Start
2012-04-01
Budget End
2013-03-31
Support Year
4
Fiscal Year
2012
Total Cost
$254,109
Indirect Cost
$13,708
Name
University of Pennsylvania
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Shah, Preya; Bassett, Danielle S; Wisse, Laura E M et al. (2018) Mapping the structural and functional network architecture of the medial temporal lobe using 7T MRI. Hum Brain Mapp 39:851-865
Sperry, M M; Kandel, B M; Wehrli, S et al. (2017) Mapping of pain circuitry in early post-natal development using manganese-enhanced MRI in rats. Neuroscience 352:180-189
Kogan, Feliks; Stafford, Randall B; Englund, Erin K et al. (2017) Perfusion has no effect on the in vivo CEST effect from Cr (CrCEST) in skeletal muscle. NMR Biomed 30:
Contijoch, Francisco; Rogers, Kelly; Rears, Hannah et al. (2016) Quantification of Left Ventricular Function With Premature Ventricular Complexes Reveals Variable Hemodynamics. Circ Arrhythm Electrophysiol 9:e003520
Contijoch, Francisco J; Witschey, Walter R T; McGarvey, Jeremy et al. (2016) Slice-by-Slice Pressure-Volume Loop Analysis Demonstrates Native Differences in Regional Cardiac Contractility and Response to Inotropic Agents. Ann Thorac Surg 102:796-802
Contijoch, Francisco; Witschey, Walter R T; Rogers, Kelly et al. (2016) Impact of end-diastolic and end-systolic phase selection in the volumetric evaluation of cardiac MRI. J Magn Reson Imaging 43:585-93
Kandel, Benjamin M; Avants, Brian B; Gee, James C et al. (2016) White matter hyperintensities are more highly associated with preclinical Alzheimer's disease than imaging and cognitive markers of neurodegeneration. Alzheimers Dement (Amst) 4:18-27
Kandel, Benjamin M; Wang, Danny J J; Detre, John A et al. (2015) Decomposing cerebral blood flow MRI into functional and structural components: a non-local approach based on prediction. Neuroimage 105:156-70
Kandel, Benjamin M; Wang, Danny J J; Gee, James C et al. (2015) Eigenanatomy: sparse dimensionality reduction for multi-modal medical image analysis. Methods 73:43-53
Contijoch, Francisco; Witschey, Walter R T; Rogers, Kelly et al. (2015) User-initialized active contour segmentation and golden-angle real-time cardiovascular magnetic resonance enable accurate assessment of LV function in patients with sinus rhythm and arrhythmias. J Cardiovasc Magn Reson 17:37

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