High resolution x-ray CMT: Reconstruction methods
This paper qualitatively discusses the primary characteristics of methods for reconstructing tomographic images from a set of projections. These reconstruction methods can be categorized as either {open_quotes}analytic{close_quotes} or {open_quotes}iterative{close_quotes} techniques. Analytic algorithms are derived from the formal inversion of equations describing the imaging process, while iterative algorithms incorporate a model of the imaging process and provide a mechanism to iteratively improve image estimates. Analytic reconstruction algorithms are typically computationally more efficient than iterative methods; however, analytic algorithms are available for a relatively limited set of imaging geometries and situations. Thus, the framework of iterative reconstruction methods is better suited for high accuracy, tomographic reconstruction codes.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- OSTI ID:
- 525913
- Report Number(s):
- LBNL-40112; CONF-9608146-; ON: DE97005928; TRN: 97:015073
- Resource Relation:
- Conference: Workshop on x-ray computed microtomography (CMT), Berkeley, CA (United States), 12-13 Aug 1996; Other Information: PBD: Feb 1997; Related Information: Is Part Of Proceedings of the workshop on high resolution computed microtomography (CMT); PB: 437 p.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Real-time out-of-plane artifact subtraction tomosynthesis imaging using prior CT for scanning beam digital x-ray system
An iterative method for tomographic x-ray perfusion estimation in a decomposition model-based approach