The over-arching theme of this proposal is to train """"""""comprehensive imaging scientists"""""""" in the skills necessary to identify clinically relevant problems;develop instrumentation, sensors, and contrast agents to form images appropriate for the problem;and analyze the resulting imaging data using signal processing, mathematical modeling, visualization, and informatics techniques to improve the prevention, detection, diagnosis, and treatment of human diseases. The breadth of focus spans the full range of physical dimensions from molecular to cellular to tissue to organ. In order for imaging scientists to knowledgeable of the full trajectory from image formation to analysis and decision-making, they must be rained in four core areas: Instrumentation, Devices, and Contrast Agents;Image processing;Modeling and Visualization;and Informatics. We have chosen a solid core curriculum upon which the trainees can build a specialized research career. The faculty come from a wide range of research areas: chemistry, biochemistry, engineering, biology, psychology, and clinical medicine. Research spans the full gamut from contrast agent design and cell trafficking measurements to clinical instrumentation design. All students in the program will be trained in the core concepts of all of these areas. In addition, each student will identify a particular area in which to specialize for his/her doctoral research. For example, this area may be a particular imaging modality or a specialization within imaging informatics. The proposed training program is a two year pre-doctoral portfolio program. A total of twenty students will be trained (4/year). The program includes industrial internships and professional development so that our students will be able to fill a critical niche in imaging science. A novel element of the training program is the integration of quantitative physiological modeling at all scales with state-of-the-art imaging science. Structural imaging changed the practice of clinical medicine in the 1980s. Medicine is poised for a second revolution based on functional imaging, especially at the cellular and molecular level. It is completely feasible to imagine a scenario in which the dynamics of cellular metabolism are measured in vivo and targeted drugs or gene therapies are custom designed to alter or repair intracellular biochemical pathways. We have identified a critical need for imaging scientists to work at this new frontier of medicine. The global program outcome is for our students to acquire the skill set needed to improve healthcare through imaging science.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Institutional National Research Service Award (T32)
Project #
1T32EB007507-01A2
Application #
7561172
Study Section
Special Emphasis Panel (ZEB1-OSR-E (O1))
Program Officer
Baird, Richard A
Project Start
2009-08-01
Project End
2014-07-31
Budget Start
2009-08-01
Budget End
2010-07-31
Support Year
1
Fiscal Year
2009
Total Cost
$148,060
Indirect Cost
Name
University of Texas Austin
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
170230239
City
Austin
State
TX
Country
United States
Zip Code
78712
Gardner, Michael R; Lewis, Adam; Park, Jongwan et al. (2018) In situ process monitoring in selective laser sintering using optical coherence tomography. Opt Eng 57:
Avazmohammadi, Reza; Li, David S; Leahy, Thomas et al. (2018) An integrated inverse model-experimental approach to determine soft tissue three-dimensional constitutive parameters: application to post-infarcted myocardium. Biomech Model Mechanobiol 17:31-53
Luan, Lan; Sullender, Colin T; Li, Xue et al. (2018) Nanoelectronics enabled chronic multimodal neural platform in a mouse ischemic model. J Neurosci Methods 295:68-76
Woodall, Ryan T; Barnes, Stephanie L; Hormuth 2nd, David A et al. (2018) The effects of intravoxel contrast agent diffusion on the analysis of DCE-MRI data in realistic tissue domains. Magn Reson Med 80:330-340
Martin, Chris; Li, Tianqi; Hegarty, Evan et al. (2018) Line excitation array detection fluorescence microscopy at 0.8 million frames per second. Nat Commun 9:4499
Syed, Anum K; Woodall, Ryan; Whisenant, Jennifer G et al. (2018) Characterizing Trastuzumab-Induced Alterations in Intratumoral Heterogeneity with Quantitative Imaging and Immunohistochemistry in HER2+ Breast Cancer. Neoplasia 21:17-29
Mondal, Sudip; Hegarty, Evan; Sahn, James J et al. (2018) High-Content Microfluidic Screening Platform Used To Identify ?2R/Tmem97 Binding Ligands that Reduce Age-Dependent Neurodegeneration in C. elegans SC_APP Model. ACS Chem Neurosci 9:1014-1026
Wang, Mingsong; Hartmann, Gregory; Wu, Zilong et al. (2017) Controlling Plasmon-Enhanced Fluorescence via Intersystem Crossing in Photoswitchable Molecules. Small 13:
Miller, David R; Hassan, Ahmed M; Jarrett, Jeremy W et al. (2017) In vivo multiphoton imaging of a diverse array of fluorophores to investigate deep neurovascular structure. Biomed Opt Express 8:3470-3481
Rajeeva, Bharath Bangalore; Alabandi, Majd A; Lin, Linhan et al. (2017) Patterning and fluorescence tuning of quantum dots with haptic-interfaced bubble printing. J Mater Chem C Mater 5:5693-5699

Showing the most recent 10 out of 46 publications