Spatially variant tomographic imaging: Estimation, identification, and optimization
- Univ. of California, Berkeley, CA (United States)
This thesis is an investigation of methods for processing multidimensional signals acquired using modern tomography systems that have an anisotropic or spatially variant response function. The main result of this research is the discovery of a new method to obtain better estimators of an unknown spatial intensity distribution by incorporating detailed knowledge about the tomograph system response function and statistical properties of the acquired signal into a mathematical model.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC)
- DOE Contract Number:
- AC03-76SF00098
- OSTI ID:
- 10134377
- Report Number(s):
- LBL-31561; ON: DE92010262; CNN: Grant HL07367
- Resource Relation:
- Other Information: TH: Thesis (Ph.D.); PBD: Nov 1991
- Country of Publication:
- United States
- Language:
- English
Similar Records
Spatially variant tomographic imaging: Estimation, identification, and optimization
Image reconstruction for a Positron Emission Tomograph optimized for breast cancer imaging
Linear adaptive noise-reduction filters for tomographic imaging: Optimizing for minimum mean square error
Technical Report
·
Fri Nov 01 00:00:00 EST 1991
·
OSTI ID:10134377
Image reconstruction for a Positron Emission Tomograph optimized for breast cancer imaging
Thesis/Dissertation
·
Sat Apr 01 00:00:00 EST 2000
·
OSTI ID:10134377
Linear adaptive noise-reduction filters for tomographic imaging: Optimizing for minimum mean square error
Thesis/Dissertation
·
Thu Apr 01 00:00:00 EST 1993
·
OSTI ID:10134377