Image reconstruction for transmission tomography when projection data are incomplete.
Two iterative methods are developed for forming a maximum-likelihood estimate of the attenuation density in a patient or object for transmission tomography when projection data are incomplete. The methods converge monotonically to the same limit points. Results of testing the methods with both simulated and real data are given.
Snyder
Donald L
DL
Washington University, St Louis, MO, USA. dls@ese.wustl.edu
O'Sullivan
Joseph A
JA
Murphy
Ryan J
RJ
Politte
David G
DG
Whiting
Bruce R
BR
Williamson
Jeffrey F
JF
D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D007089:Image Enhancement; D007091:Image Processing, Computer-Assisted; D016013:Likelihood Functions; D015233:Models, Statistical; D009010:Monte Carlo Method; D019047:Phantoms, Imaging; D011857:Radiographic Image Interpretation, Computer-Assisted; D014056:Tomography, X-Ray / Q000295:instrumentation* / Q000379:methods*