language: en

PENALIZED LIKELIHOOD EMISSION IMAGE RECONSTRUCTION WITH UNCERTAIN BOUNDARY INFORMATION

Stephen R. Titus, Alfred O. Hero III, Jeffrey A. Fessler
4401 EECS, University of Michigan, Ann Arbor, MI 48109

ABSTRACT In this paper, a method is introduced for incorporating perfectly registered MRI boundary information into a penalized likelihood emission reconstruction scheme. The boundary curve is modeled as a periodic spline whose coefficients are estimated from the MRI image. The resulting boundary estimate is mapped to a spatially variant set of Gibbs weights. When incorporated into a quadratic roughness penalty, these weights improve emission reconstruction bias/variance performance by preventing smoothing across the estimated boundary.

1. INTRODUCTION