Title :
Spatial resolution properties of penalized-likelihood image reconstruction: space-invariant tomographs
Author :
Fessler, Jeffrey A. ; Rogers, W. Leslie
Author_Institution :
Michigan Univ., Ann Arbor, MI, USA
Abstract :
This paper examines the spatial resolution properties of penalized-likelihood image reconstruction methods by analyzing the local impulse response. The analysis shows that standard regularization penalties induce space-variant local impulse response functions, even for space-invariant tomographic systems. Paradoxically, for emission image reconstruction, the local resolution is generally poorest in high-count penalties depends on the object only through its projections. This analysis leads naturally to a modified regularization penalty that leads naturally to a modified regularization penalty that yields reconstructed images with nearly uniform resolution. The modified penalty also provides a very practical method for choosing the regularization parameter to obtain a specified resolution in images reconstructed by penalized-likelihood methods.
Keywords :
emission tomography; image reconstruction; image resolution; maximum likelihood estimation; medical image processing; penalized-likelihood image reconstruction; regularization parameter; regularization penalty; space-invariant tomographs; space-variant local impulse response functions; spatial resolution; Biomedical imaging; Density measurement; Filters; Image reconstruction; Image resolution; Peak to average power ratio; Scanning probe microscopy; Single photon emission computed tomography; Spatial resolution; Virtual manufacturing;
Conference_Titel :
Biomedical Imaging, 2002. 5th IEEE EMBS International Summer School on
Print_ISBN :
0-7803-7507-6
DOI :
10.1109/SSBI.2002.1233985