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.
|Original language||English (US)|
|Title of host publication||Biomedical Topical Meeting, (Optica Publishing Group, 2002)|
|State||Published - 2002|