Explore The Possibilities with Magnetic Particle Imaging

Date

June 28, 201606/28/2016 1:30pm 06/28/2016 1:30pm Explore The Possibilities with Magnetic Particle Imaging

Mark your calendar and join us for a presentation on the newest molecular imaging technology unparalleled to Nuclear and Optical Imaging. The presentation will cover the basics of Magnetic Particle Imaging (MPI) and application data providing enablement to:
 

  • Cell Tracking Models
  • Tumor Staging
  • Localized Hyperthermic & Theranostic Imaging
  • Functional Vascular Imaging

 MPI is a unique, ultra-sensitive, high resolution molecular imaging approach that longitudinally detects nanoparticles regardless of depth. MPI harnesses the flexibility of iron oxide nanoparticles to label cells, as targeted probes, or freely flowing through the vasculature.

This event is hosted by: Byron Hann, MD, PhD

 

756 America/Los_Angeles public

Type

Seminar

Time Duration

1:30 pm

Location

Mission Bay | Helen Diller Comprehensive Cancer Center | 1450 3rd Street Room HD-160

Mark your calendar and join us for a presentation on the newest molecular imaging technology unparalleled to Nuclear and Optical Imaging. The presentation will cover the basics of Magnetic Particle Imaging (MPI) and application data providing enablement to:
 

  • Cell Tracking Models
  • Tumor Staging
  • Localized Hyperthermic & Theranostic Imaging
  • Functional Vascular Imaging

 MPI is a unique, ultra-sensitive, high resolution molecular imaging approach that longitudinally detects nanoparticles regardless of depth. MPI harnesses the flexibility of iron oxide nanoparticles to label cells, as targeted probes, or freely flowing through the vasculature.

This event is hosted by: Byron Hann, MD, PhD

 

Speakers

Patrick Goodwill, PhD
Co-Founder, Magnetic Insight

Dr. Patrick Goodwill, CTO of Magnetic Insight led the development team in Magnetic Particle Imaging at UC Berkeley. In his role, he has designed and built numerous prototype MPI scanners, and developed the reconstruction systems theory that enables quantitative, high-quality MPI images.  Dr. Goodwill has a PhD in Bioengineering from UC Berkeley, and a  B.S. and M.S. in Electrical Engineering from Stanford University. Prior to UC Berkeley, Dr. Goodwill designed microprocessors at Intel Corporation.