Spatially variant tomographic imaging: Estimation, identification, and optimization

Technical Report · Fri Nov 01 00:00:00 EST 1991

DOI:https://doi.org/10.2172/5615966· OSTI ID:5615966

Baker, J R

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; DOHHS; USDOE, Washington, DC (United States); Department of Health and Human Services, Washington, DC (United States)
• DOE Contract Number: AC03-76SF00098
• OSTI ID: 5615966
• Report Number(s): LBL-31561; ON: DE92010262; CNN: HL07367
• Resource Relation: Other Information: Thesis (Ph.D.)
• Country of Publication: United States
• Language: English

Related Subjects

62 RADIOLOGY AND NUCLEAR MEDICINE
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
IMAGES
OPTIMIZATION
POSITRON COMPUTED TOMOGRAPHY
ALGORITHMS
MATHEMATICAL MODELS
SPATIAL DISTRIBUTION
COMPUTERIZED TOMOGRAPHY
DIAGNOSTIC TECHNIQUES
DISTRIBUTION
EMISSION COMPUTED TOMOGRAPHY
MATHEMATICAL LOGIC
TOMOGRAPHY
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