Spatially variant tomographic imaging: Estimation, identification, and optimization

Baker, J R

doi:10.2172/5615966

Title: Spatially variant tomographic imaging: Estimation, identification, and optimization

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Abstract

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.

Authors:: Baker, J R

Publication Date:: Fri Nov 01 00:00:00 EST 1991

Research Org.:: Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Sponsoring Org.:: USDOE; DOHHS; USDOE, Washington, DC (United States); Department of Health and Human Services, Washington, DC (United States)

OSTI Identifier:: 5615966

Report Number(s):: LBL-31561
ON: DE92010262; CNN: HL07367

DOE Contract Number:: AC03-76SF00098

Resource Type:: Technical Report

Resource Relation:: Other Information: Thesis (Ph.D.)

Country of Publication:: United States

Language:: English

Subject:: 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; 550601* - Medicine- Unsealed Radionuclides in Diagnostics; 990200 - Mathematics & Computers

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                    Baker, J R. Spatially variant tomographic imaging: Estimation, identification, and optimization.  United States: N. p., 1991. 
        Web.  doi:10.2172/5615966.

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                    Baker, J R. Spatially variant tomographic imaging: Estimation, identification, and optimization.  United States.  https://doi.org/10.2172/5615966

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                    Baker, J R. 1991.  
        "Spatially variant tomographic imaging: Estimation, identification, and optimization".  United States.  https://doi.org/10.2172/5615966.  https://www.osti.gov/servlets/purl/5615966.

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@article{osti_5615966,

  title        = {Spatially variant tomographic imaging: Estimation, identification, and optimization},

  author       = {Baker, J R},

  abstractNote = {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.},

  doi          = {10.2172/5615966},

  url          = {https://www.osti.gov/biblio/5615966},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Nov 01 00:00:00 EST 1991},

  month        = {Fri Nov 01 00:00:00 EST 1991}

}

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Technical Report:

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