By Topic

Bayesian estimation of 3-D objects from few radiographs

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Sauer, K. ; Dept. of Electr. Eng., Notre Dame Univ., IN, USA ; Sachs, J., Jr. ; Klifa, C.

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

Published in:

Nuclear Science, IEEE Transactions on  (Volume:41 ,  Issue: 5 )