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New Methods in Medical Imaging

Project Type: 
Past

The goals of this project included the development of mathematical software to yield conductivity images from experimental data on tissue phantoms, the development of a new imaging algorithm based on radio frequency currents and the development of software for imaging anisotropic conductivities.

Project Leader(s): 

Dr. Adrian Nachman , University of Toronto

The introduction of X-ray computed tomography in 1972 revolutionized medical imaging. Mathematics has since played a crucial role in this rapidly growing discipline. The last two decades have seen a large amount of activity in the field of inverse problems in partial differential equations, motivated not only by medical imaging, but also by seismic exploration, quantum physics, non-destructive testing and other applications, and especially by theoretical breakthroughs. The goals of this project included the development of mathematical software to yield conductivity images from experimental data on tissue phantoms, the development of a new imaging algorithm based on radio frequency currents and the development of software for imaging anisotropic conductivities.

Project team: 
Dr. Michael L. G. Joy , (University of Toronto)
Dr. Dawn Jorgenson , (Phillips Medical System, Dept. Heartstream)
Non-academic participants: 
Funding period: 
April 1, 2004 - March 31, 2006