Abstract
Most of the currently existing image reconstruction algorithms for optical tomography (OT) can he formulated as an optimization problem. To find a minimum of an appropriately defined objective function, researchers in OT mostly rely on conjugate-gradient (CG) methods. In this work we have tested the performance of quasi-Newton methods, which prove to be superior to CG methods, both in terms of conversion time and image quality.
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