Title :
Bayesian estimation of 3-D objects from few radiographs
Author :
Sauer, Ken ; Sachs, James, Jr. ; Klifa, Catherine
Author_Institution :
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
fDate :
10/1/1994 12:00:00 AM
Abstract :
Radiography is an effective method for nondestructive inspection of solid objects, but more complete analysis and diagnoses are possible with full 3-D reconstructions. The quantity of data available in radiography is seldom sufficient to form a deterministic estimate. We present methods for statistically optimal reconstructions of 3-D objects from small numbers of digitized radiographs, which not only restore more complete spatial information, but also improve the detectability of aberrations and flaws in solid materials. The formulation includes scatter compensation under the statistical model
Keywords :
Bayes methods; X-ray applications; aberrations; computerised tomography; flaw detection; image reconstruction; inspection; nondestructive testing; physics computing; radiography; 3D objects; Bayesian estimation; aberrations detectability; deterministic estimate; digitized radiographs; flaws; nondestructive inspection; radiography; scatter compensation; solid objects; spatial information; statistical model; statistically optimal reconstructions; tomographic reconstruction; Bayesian methods; Diagnostic radiography; Electromagnetic scattering; Image reconstruction; Particle scattering; Reconstruction algorithms; Solids; Tomography; X-ray imaging; X-ray scattering;
Journal_Title :
Nuclear Science, IEEE Transactions on
