January 9, 2020
4:15PM - 5:15PM
Cockins Hall 240
Add to Calendar
2020-01-09 17:15:00
2020-01-09 18:15:00
Colloquium - Allan Greenleaf
Title: Propagation of singularities in the Calderon inverse problem, or, Trying to diagnose strokes with electrostatics
Speaker: Allan Greenleaf - University of Rochester
Abstract: Electrical impedance tomography (EIT) is an imaging technique that has been proposed for imaging and nondestructive testing of oil fields, manufactured parts and human bodies. Over the last 40 years it has led to much beautiful mathematics, but the very features that make the mathematical foundation of EIT, the Calderon inverse problem, so interesting mathematically also makes the images EIT produces very blurry. I will describe some of the underlying analysis, and work in progress on using some old ideas from PDE to try to apply EIT to stroke diagnosis.
Cockins Hall 240
OSU ASC Drupal 8
ascwebservices@osu.edu
America/New_York
public
Date Range
Add to Calendar
2020-01-09 16:15:00
2020-01-09 17:15:00
Colloquium - Allan Greenleaf
Title: Propagation of singularities in the Calderon inverse problem, or, Trying to diagnose strokes with electrostatics
Speaker: Allan Greenleaf - University of Rochester
Abstract: Electrical impedance tomography (EIT) is an imaging technique that has been proposed for imaging and nondestructive testing of oil fields, manufactured parts and human bodies. Over the last 40 years it has led to much beautiful mathematics, but the very features that make the mathematical foundation of EIT, the Calderon inverse problem, so interesting mathematically also makes the images EIT produces very blurry. I will describe some of the underlying analysis, and work in progress on using some old ideas from PDE to try to apply EIT to stroke diagnosis.
Cockins Hall 240
Department of Mathematics
math@osu.edu
America/New_York
public
Title: Propagation of singularities in the Calderon inverse problem, or, Trying to diagnose strokes with electrostatics
Speaker: Allan Greenleaf - University of Rochester
Abstract: Electrical impedance tomography (EIT) is an imaging technique that has been proposed for imaging and nondestructive testing of oil fields, manufactured parts and human bodies. Over the last 40 years it has led to much beautiful mathematics, but the very features that make the mathematical foundation of EIT, the Calderon inverse problem, so interesting mathematically also makes the images EIT produces very blurry. I will describe some of the underlying analysis, and work in progress on using some old ideas from PDE to try to apply EIT to stroke diagnosis.
