Craig Levin

Administrative Appointments

• Co-Director, Stanford Center for Innovation in In Vivo Imaging (2004 - present)

Honors and Awards

• Pilot Research Award, Society of Nuclear Medicine (1996)
• National Research Service Award, National Institutes of Health (1993-5)
• Bates Graduate Fellowship, Jonathan Edwards College, Yale University (1987-91)
• Full Tuition and Research Fellowship, Yale University (1985-93)
• Sigma Pi Sigma National Honors in Physics, University of California at Los Angeles (1985)

Professional Education

Postdoctoral Advisees

Joo Hyun Lee, Hao Peng, Virginia Spanoudaki, Arne Vandenbroucke

Graduate & Fellowship Program Affiliations

• Biophysics
• Bioengineering

Web Site Links

• Molecular Imaging Program at Stanford

Industry Relationships

Stanford is committed to ethical and transparent interactions with our industry partners. It is our policy to disclose payments of $5,000 or more, equity valued at $5,000 or more in a publicly traded company, or any equity in a privately held company, to physicians and scientists employed by Stanford University from companies or other commercial entities with which they interact as part of their professional activities. View Full Information

Research Interests

Molecular Imaging Instrumentation Laboratory

Our research interests involve the development of novel instrumentation and software algorithms for in vivo imaging of molecular signals in humans and small laboratory animals. These new cameras efficiently image radiation emissions in the form of positrons, annihilation photons, gamma rays, and light from molecular probes developed to target molecular signals from deep within tissue of live subjects. The goals of the instrumentation projects are to push the sensitivity and spatial, spectral, and/or temporal resolutions as far as physically possible. The algorithm goals are to understand the physical system comprising the subject tissues, radiation transport, and imaging system, and to provide the best available image quality and quantitative accuracy. The work involves computer modeling, position sensitive sensors, readout electronics, data acquisition, image formation, image processing, and data/image analysis algorithms, and incorporating these innovations into practical imaging devices. The ultimate goal is to introduce these new imaging tools into studies of molecular mechanisms and treatments of disease within living subjects.

Publications

• Fast, accurate and shift-varying line projections for iterative reconstruction using the GPU. Pratx G, Chinn G, Olcott PD, Levin CS. IEEE Trans Med Imaging. 2009; 28 (3): 435-45
• Bayesian reconstruction of photon interaction sequences for high-resolution PET detectors. Pratx G, Levin CS. Phys Med Biol. 2009; 54 (17): 5073-94
• A comparison between a time domain and continuous wave small animal optical imaging system. Keren S, Gheysens O, Levin CS, Gambhir SS. IEEE Trans Med Imaging. 2008; 27 (1): 58-63
• Count rate studies of a box-shaped PET breast imaging system comprised of position sensitive avalanche photodiodes utilizing monte carlo simulation. Foudray AM, Habte F, Chinn G, Zhang J, Levin CS. Phys Med. 2006: 21 Suppl 1 64-7
• Primer on molecular imaging technology. Levin CS, Eur J Nucl Med Mol Imaging. 2005: 32 Suppl 2 S325-45