BAYESIAN RECONSTRUCTIONS FROM EMISSION TOMOGRAPHY DATA USING A MODIFIED EM ALGORITHM

被引：838

作者：

GREEN, PJ ^{[1
]}

机构：

[1] UNIV DURHAM,DURHAM DH1 3HP,ENGLAND

来源：

IEEE TRANSACTIONS ON MEDICAL IMAGING | 1990年 / 9卷 / 01期

关键词：

D O I：

10.1109/42.52985

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A new method of reconstruction from SPECT data is proposed, which builds on the EM approach to maximum likelihood reconstruction from emission tomography data, but aims instead at maximum posterior probability estimation, that takes account of prior belief about “smoothness” in the isotope concentration. A novel modification to the EM algorithm yields a practical method. The method is illustrated by an application to data from brain scans. © 1990 IEEE

引用

页码：84 / 93

页数：10

共 31 条

[1] BESAG J, 1986, J R STAT SOC B, V48, P259
[2] Besag J., 1983, B INT STAT I L, VL-3, P422
[3] MAXIMUM LIKELIHOOD FROM INCOMPLETE DATA VIA EM ALGORITHM
DEMPSTER, AP
LAIRD, NM
RUBIN, DB
[J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, 1977, 39 (01): : 1 - 38
[4] INVERSE MONTE-CARLO - A UNIFIED RECONSTRUCTION ALGORITHM FOR SPECT
FLOYD, CE
JASZCZAK, RJ
COLEMAN, RE
[J]. IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 1985, 32 (01) : 779 - 785
[5] STOCHASTIC RELAXATION, GIBBS DISTRIBUTIONS, AND THE BAYESIAN RESTORATION OF IMAGES
GEMAN, S
GEMAN, D
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1984, 6 (06) : 721 - 741
[6] Geman S., 1987, B ISI, V52, P5
[7] GEMAN S, 1985, P AM STATIST ASS STA
[8] NONPARAMETRIC ROUGHNESS PENALTIES FOR PROBABILITY DENSITIES
GOOD, IJ
GASKINS, RA
[J]. BIOMETRIKA, 1971, 58 (02) : 255 - +
[9] GREEN PJ, 1987, B INT STAT I, V52, P43
[10] GREEN PJ, 1990, J ROY STATIST SOC B

← 1 2 3 4 →