This is an application for a new multidisciplinary pre-doctoral training program at Stanford University in biomedical imaging technologies. Our mission is to train the next generation of researchers in and inventors of biomedical imaging technology. Imaging technology continues to evolve at a rapid pace generating new techniques in research today that will become the standard of care for tomorrow. There is a high need for trained researchers in this field to fill positions in academia, industry, and government. Stanford University has a unique multidisciplinary research effort in biomedical imaging, spanning magnetic resonance, computed tomography and radiography, radionucline and optical methods for molecular imaging, ultrasound, and hybrid imaging such as X- ray/MR and PET/MR, as well as image processing and analysis for diagnosis, radiation therapy, and science. The training program would draw and fund students from six different degree granting programs to train in biomedical imaging technology with faculty from 8 different departments and Interdepartmental Programs. Two students would be recruited the first year and three new students would be recruited in each subsequent year. Each trainee would be funded for the initial two years of their considerably longer PhD programs, so two students would be funded in the first year, five in the second year, and six in each subsequent year.

Public Health Relevance

Our mission is to train the next generation of researchers and inventors of biomedical imaging technology. Imaging technology continues to evolve at a rapid pace generating new techniques in research today that will become the standard of care for tomorrow. There is a high need for trained researchers in this field to fill positions in academia, industry, and government.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Institutional National Research Service Award (T32)
Project #
5T32EB009653-05
Application #
8723652
Study Section
Special Emphasis Panel (ZEB1)
Program Officer
Baird, Richard A
Project Start
2010-09-01
Project End
2015-08-31
Budget Start
2014-09-01
Budget End
2015-08-31
Support Year
5
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Stanford University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
City
Stanford
State
CA
Country
United States
Zip Code
94304
Smith, Gennifer T; Dwork, Nicholas; Khan, Saara A et al. (2016) Robust dipstick urinalysis using a low-cost, micro-volume slipping manifold and mobile phone platform. Lab Chip 16:2069-78
Savall, Joan; Ho, Eric Tatt Wei; Huang, Cheng et al. (2015) Dexterous robotic manipulation of alert adult Drosophila for high-content experimentation. Nat Methods 12:657-60
Smith, Gennifer T; Dwork, Nicholas; O'Connor, Daniel et al. (2015) Automated, Depth-Resolved Estimation of the Attenuation Coefficient From Optical Coherence Tomography Data. IEEE Trans Med Imaging 34:2592-602
Marx, Michael; Plata, Juan; Pauly, Kim Butts (2015) Toward volumetric MR thermometry with the MASTER sequence. IEEE Trans Med Imaging 34:148-55
Maute, Roy L; Gordon, Sydney R; Mayer, Aaron T et al. (2015) Engineering high-affinity PD-1 variants for optimized immunotherapy and immuno-PET imaging. Proc Natl Acad Sci U S A 112:E6506-14
Bieniosek, M F; Olcott, P D; Levin, C S (2013) Compact pulse width modulation circuitry for silicon photomultiplier readout. Phys Med Biol 58:5049-59
Bieniosek, M F; Olcott, P D; Levin, C S (2013) Readout strategy of an electro-optical coupled PET detector for time-of-flight PET/MRI. Phys Med Biol 58:7227-38
Marx, Michael; Pauly, Kim Butts; Chang, Catie (2013) A novel approach for global noise reduction in resting-state fMRI: APPLECOR. Neuroimage 64:19-31