Article ; Online: Sampling theory perspective on tomographic tilt increment schemes.
2022 Volume 245, Page(s) 113669
Abstract: Given a limited radiation exposure to be distributed over a discrete number of tilted projections in tomography, the optimal collection of information depends on the tilt increment scheme. Relying on principles of sampling theory, several tilt increment ... ...
Abstract | Given a limited radiation exposure to be distributed over a discrete number of tilted projections in tomography, the optimal collection of information depends on the tilt increment scheme. Relying on principles of sampling theory, several tilt increment schemes can be compared and quantified. Following reasoning of Saxton, a revised scheme is offered in which the tilt angle increments Δθ |
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MeSH term(s) | Image Processing, Computer-Assisted/methods ; Tomography/methods ; Tomography, X-Ray Computed/methods ; Computer Simulation ; Algorithms |
Language | English |
Publishing date | 2022-12-18 |
Publishing country | Netherlands |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 1479043-9 |
ISSN | 1879-2723 ; 0304-3991 |
ISSN (online) | 1879-2723 |
ISSN | 0304-3991 |
DOI | 10.1016/j.ultramic.2022.113669 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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