5 citations · 5 across the 3 of their papers we have counts for
4 papers
Stroke classification using Virtual Hybrid Edge Detection from in silico electrical impedance tomography data
Juan Pablo Agnelli, Fernando S. Moura, Siiri Rautio +4
Electrical impedance tomography (EIT) is a non-invasive imaging method for recovering the internal conductivity of a physical body from electric boundary measurements. EIT combined…
CT scans without X-rays: parallel-beam imaging from nonlinear current flows
Melody Alsaker, Siiri Rautio, Fernando Moura +5
Parallel-beam X-ray computed tomography (CT) and electrical impedance tomography (EIT) are two imaging modalities which stem from completely different underlying physics, and for d…
Incorporating a Spatial Prior into Nonlinear D-Bar EIT imaging for Complex Admittivities
Sarah Jane Hamilton, Jennifer L. Mueller, Melody Alsaker
Electrical Impedance Tomography (EIT) aims to recover the internal conductivity and permittivity distributions of a body from electrical measurements taken on electrodes on the sur…
A D-bar Algorithm with A Priori Information for Electrical Impedance Tomography
Melody Alsaker, Jennifer L. Mueller
A method for including a priori information in the 2-D D-bar algorithm is presented. Two methods of assigning conductivity values to the prior are presented, each corresponding to…