Dominic M. Graziani1, Stephen J. Garnier2, Ek T. Tan1, Christopher J. Hardy1
1GE Global Research, Niskayuna, NY, United States; 2GE Healthcare, Waukesha, WI, United States
We report on an iterative reconstruction technique for image-based intensity correction of phased-array images using multi-channel blind deconvolution (MBD) and homomorphic filtering. This combined method produces images with better bias field correction and higher contrast fidelity than either technique on its own. The algorithm is relatively insensitive with respect to the choice of adjustable parameters, and reasonably fast, taking around 2 seconds per slice in Matlab. We demonstrate the effectiveness of this technique by correcting spine images acquired with an 8 channel single-sided array with good resulting uniformity and contrast.