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SUMMARY:CGO-Based Reconstruction in Electrical Impedance Tomography: A fas
 t\, non-iterative solution method for 3D applications - Sarah Hamilton (Ma
 rquette University)
DTSTART:20230202T153000Z
DTEND:20230202T161500Z
UID:TALK194563@talks.cam.ac.uk
DESCRIPTION:Electrical Impedance Tomography is a low-cost\, portable\, non
 -invasive imaging modality that can be used to recover the internal conduc
 tivity of a body using harmless electrical measurements taken at the surfa
 ce via electrodes. The mathematical problem of recovering the conductivity
  involves solving a severely ill-posed nonlinear inverse problem which req
 uires carefully designed robust numerical algorithms. CGO-based methods ha
 ve been shown to be robust for time-difference and absolute EIT imaging in
  2D with clinical applications in real-time. &nbsp\; The methods require a
  nonlinear scattering transform tailor-made for the EIT problem which allo
 ws the problem to be solved directly without costly repeated FEM solutions
 .&nbsp\; In 3D\, CGO-based EIT reconstruction has recently been achieved i
 n a few seconds rather than the hours required by iterative optimization-b
 ased schemes.&nbsp\; This time savings is especially important in applicat
 ions such as stroke classification and monitoring.&nbsp\; In this talk we 
 explore how CGO-based reconstruction can be applied to 3D EIT demonstratin
 g the effectiveness on experimental tank laboratory data for absolute and 
 time-difference EIT.&nbsp\; Extensions to partial boundary data and natura
 l pairings with deep learning are discussed.
LOCATION:Seminar Room 1\, Newton Institute
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