Principal Investigator/Program Director (Last, First, Middle): Gee, James C. Project Summary 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 previously no formal integration of efforts in graduate training existed, nor was there a formal clinical component to the training until the creation of the Training Program in Biomedical Imaging and Informational Sciences. Established in 2006 under the auspices of the HHMI-NIBIB Interfaces Initiative, today the program represents a partnership led by the Departments of Radiology, Bioengineering, and Computer and Information Science, 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 program embraces strong clinical exposure alongside analytical imaging science. The objective is to provide interdisciplinary training by ensuring that students attain a level of integration that will allow them to become the next generation of leaders in hypothesis-driven, clinically-focused biomedical imaging research. Program outcomes to date are strong across all impact measures, indicating successful progress toward training objectives: publications (219) and citations (5171); numerous research awards and distinctions; recruitment of 9 (23%) URM or disadvantaged trainees; and 14 graduates (78%) in faculty positions, post-doctoral training, or medical training and residencies. A formalized curriculum, the doctoral foundation, developed for the program provides 18 months of vertical integration of the core didactic elements of biomedicine and basic science education in biomedical imaging through three Foundational components, followed by elective Pathways. In the first, Foundations in Biomedical Science (2 courses), students participate in 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 is complemented by 2 courses in Foundations of Imaging Science: Molecular Imaging, and Fundamental Techniques of Imaging. The third foundational component is Professional Training: Responsible Conduct of Research, Scientific Rigor and Reproducibility, Teaching Practicum, Patient-Oriented Research Training, Research `Survival' Skills, and Career Development Skills. The foundational curriculum is extended toward more specialized training by many elective courses offered through two Pathways ? Imaging Methods and Applications, and Imaging Data Science ? the latter new in the next renewal period. Didactic training is complemented by obligatory Laboratory Rotations that are offered through the laboratories of participating faculty. To ensure that the thesis research is directed to translational medicine through the solution of discrete clinical problems, trainees are required to be co-advised by members of the clinical and basic science faculty. PHS 398 (Rev. 11/07) Page Continuation Format Page

Public Health Relevance

Gee, James C. Project Narrative Imaging science is essential in current medical practice and to the future of diagnostic, interventional, and prognostic medicine. However, the PhD training of US imaging scientists, critical for research advancements in this interdisciplinary field, is deficient in formal training in anatomy, physiology, basic biomedicine and the clinical considerations that factor into clinical imaging. Our program addresses this deficit by immersive medical school coursework concomitant with a growing body of advanced training experiences in imaging and by recognizing that exceptional students are more than capable of meeting the demands of a vertically integrated program. Our ultimate goal is to expand this new kind of interdisciplinary training, ensuring that more students can attain a level of integration that will allow them to become the next generation of leaders in hypothesis-driven, clinically-focused biomedical imaging research. PHS 398 (Rev. 11/07) Page Continuation Format Page

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Institutional National Research Service Award (T32)
Project #
5T32EB009384-12
Application #
9971537
Study Section
Special Emphasis Panel (ZEB1)
Program Officer
Erim, Zeynep
Project Start
2009-04-01
Project End
2024-07-31
Budget Start
2020-08-01
Budget End
2021-07-31
Support Year
12
Fiscal Year
2020
Total Cost
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
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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