Title
A theoretical study of the contrast recovery and variance of MAP reconstructions from PET data.
Abstract
We examine the spatial resolution and variance properties of PET images reconstructed using maximum a posteriori (MAP) or penalized-likelihood methods. Resolution is characterized by the contrast recovery coefficient (CRC) of the local impulse response. Simplified approximate expressions are derived for the local impulse response CRC's and variances for each voxel. Using these results we propose a practical scheme for selecting spatially variant smoothing parameters to optimize lesion detectability through maximization of the local CRC-to-noise ratio in the reconstructed image.
Year
DOI
Venue
1999
10.1109/42.768839
IEEE Trans. Med. Imaging
Keywords
Field
DocType
nuclear medicine,parameter estimation,lesion detectability optimization,image resolution,spatial resolution,pet images reconstruction,medical diagnostic imaging,image reconstruction,penalized-likelihood method,positron emission tomography,maximum a posteriori method,voxel,spatially variant smoothing parameters,medical image processing,variance properties,maximum likelihood,iterative algorithm,data model,indexing terms,monte carlo technique,point estimation,impulse response,convergence,analysis of variance,normal distribution,monte carlo methods,closed form solution
Iterative reconstruction,Voxel,Computer vision,Impulse response,Smoothing,Artificial intelligence,Maximum a posteriori estimation,Estimation theory,Image resolution,Mathematics,Maximization
Journal
Volume
Issue
ISSN
18
4
0278-0062
Citations 
PageRank 
References 
34
3.75
15
Authors
2
Name
Order
Citations
PageRank
Jinyi Qi128435.82
Richard M Leahy21768295.29