Automatic regularization parameter selection: controlled wavelet domain sparsity

Summary: Choosing the regularization parameter is a hard problem, for which many approaches exist. Here we discuss the recently developed and fully automatic method, called controlled wavelet domain sparsity (CWDS) in the context of X-ray tomography. This approach involves sparsity promoting regularization with respect to an orthogonal wavelet basis. The ( continue reading… )

The D-bar Method for Electrical Impedance Tomography – Experimental Data

Summary: Electrical Impedance Tomography (EIT) aims to recover the internal electrical conductivity of a physical body from electrode measurements of voltages and currents at the boundary. EIT has applications in medical imaging, underground prospecting, and nondestructive testing. The image reconstruction problem of EIT is a nonlinear and severely ill-posed inverse ( continue reading… )

The D-bar Method for Electrical Impedance Tomography – Simulated Data

Summary: Electrical Impedance Tomography (EIT) aims to recover the internal electrical conductivity of a physical body from measurements of voltages and currents at the boundary of the body. EIT has applications in medical imaging, underground prospecting, and nondestructive testing. The image reconstruction problem of EIT is a nonlinear and severely ( continue reading… )