title: Image reconstruction for transmission tomography when projection data are incomplete.
abstract: 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.
authors.affiliation: Washington University, St Louis, MO, USA. dls@ese.wustl.edu
authors.forename: Donald L
authors.initials: DL
authors.lastname: Snyder
authors.forename: Joseph A
authors.initials: JA
authors.lastname: O'Sullivan
authors.forename: Ryan J
authors.initials: RJ
authors.lastname: Murphy
authors.forename: David G
authors.initials: DG
authors.lastname: Politte
authors.forename: Bruce R
authors.initials: BR
authors.lastname: Whiting
authors.forename: Jeffrey F
authors.initials: JF
authors.lastname: Williamson
mesh_terms: 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*