We report a novel approach for statistical image reconstruction in X-ray CT. Statistical image reconstruction depends on maximizing a likelihood derived from a statistical model for the measurements. Traditionally, the measurements are assumed to be statistically Poisson, but more recent work has argued that CT measurements actually follow a compound Poisson distribution due to the polyenergetic nature of the X-ray source. Unlike the Poisson distribution, compound Poisson statistics have a complicated likelihood that impedes direct use of statistical reconstruction. Using a generalization of the saddle-point integration method, we derive an approximate likelihood for use with iterative algorithms. In its most realistic form, the approximate...
Thesis (Master's)--University of Washington, 2015Traditionally, x-ray CT images are produced by an a...
Cone-Beam Computerized Tomography (CBCT) and Positron Emission Tomography (PET) are two complementar...
In this report, we investigate mathematical algorithms for image reconstruction in the context of po...
Statistical reconstruction for transmission tomography is emerging as potential alternative to conve...
This paper describes a statistical iterative reconstruction method for X-ray CT based on a physical ...
This paper describes two statistical iterative reconstruction methods for X-ray CT. The rst method ...
This paper presents a new statistical reconstruction algorithm for X-ray CT. The algorithm is based ...
This paper describes a statistical image reconstruction method for X-ray computed tomography (CT) th...
This paper describes a statistical iterative reconstruction method for X-ray CT based on a physical ...
The introduction of photon-counting detectors in x-ray computed tomography raises the question of ho...
Dual-energy (DE) X-ray computed tomography (CT) has shown promise for material characterization and ...
This paper summarizes considerations in developing statistical reconstruction algorithms for polyene...
This paper describes a statistical image reconstruction method for x-ray CT that is based on a physi...
Positron emission tomography (PET) measurements are usually precorrected for accidental coincidence ...
Positron emission tomography (PET) measurements are usually precorrected for accidental coincidence ...
Thesis (Master's)--University of Washington, 2015Traditionally, x-ray CT images are produced by an a...
Cone-Beam Computerized Tomography (CBCT) and Positron Emission Tomography (PET) are two complementar...
In this report, we investigate mathematical algorithms for image reconstruction in the context of po...
Statistical reconstruction for transmission tomography is emerging as potential alternative to conve...
This paper describes a statistical iterative reconstruction method for X-ray CT based on a physical ...
This paper describes two statistical iterative reconstruction methods for X-ray CT. The rst method ...
This paper presents a new statistical reconstruction algorithm for X-ray CT. The algorithm is based ...
This paper describes a statistical image reconstruction method for X-ray computed tomography (CT) th...
This paper describes a statistical iterative reconstruction method for X-ray CT based on a physical ...
The introduction of photon-counting detectors in x-ray computed tomography raises the question of ho...
Dual-energy (DE) X-ray computed tomography (CT) has shown promise for material characterization and ...
This paper summarizes considerations in developing statistical reconstruction algorithms for polyene...
This paper describes a statistical image reconstruction method for x-ray CT that is based on a physi...
Positron emission tomography (PET) measurements are usually precorrected for accidental coincidence ...
Positron emission tomography (PET) measurements are usually precorrected for accidental coincidence ...
Thesis (Master's)--University of Washington, 2015Traditionally, x-ray CT images are produced by an a...
Cone-Beam Computerized Tomography (CBCT) and Positron Emission Tomography (PET) are two complementar...
In this report, we investigate mathematical algorithms for image reconstruction in the context of po...