DocumentCode :
2631547
Title :
Maximum-lesion-detectability reconstruction using penalized maximum likelihood
Author :
Qi, Jinyi ; Huesman, Ronald H.
Author_Institution :
Dept. of Nucl. Medicine & Functional Imaging, Lawrence Berkeley Nat. Lab., CA, USA
fYear :
2004
fDate :
15-18 April 2004
Firstpage :
348
Abstract :
Statistical reconstruction methods based on the penalized maximum-likelihood (or maximum a posteriori) principle have been developed to improve the image quality in emission tomography. However, the penalty functions (or image priors) are often heuristically designed to encourage smoothness in reconstructed images. This paper presents a method to design the penalty function to improve lesion detection. We factorize the penalty function into pairwise potentials. Using the theoretical expressions that we have developed for evaluating lesion detectability, we are able to find the optimum weights of the pairwise potentials to achieve the maximum lesion detectability based on the numerical observers that are correlated to human performance.
Keywords :
emission tomography; image reconstruction; maximum likelihood estimation; medical image processing; emission tomography; image quality; maximum a posteriori; maximum-lesion-detectability reconstruction; pairwise potentials; penalized maximum likelihood; penalty function; statistical reconstruction; Event detection; Image quality; Image reconstruction; Laboratories; Lesions; Maximum likelihood detection; Nuclear medicine; Reconstruction algorithms; Spatial resolution; Tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
Print_ISBN :
0-7803-8388-5
Type :
conf
DOI :
10.1109/ISBI.2004.1398546
Filename :
1398546
Link To Document :
بازگشت