In this paper, the authors review the field of resolution modeling in positron emission tomography (PET) image reconstruction, also referred to as point-spread-function modeling. The review includes theoretical analysis of the resolution modeling framework as well as an overview of various approaches in the literature. It also discusses potential advantages gained via this approach, as discussed with reference to various metrics and tasks, including lesion detection observer studies. Furthermore, attention is paid to issues arising from this approach including the pervasive problem of edge artifacts, as well as explanation and potential remedies for this phenomenon. Furthermore, the authors emphasize limitations encountered in the context o...
Partial volume effect is an important source of bias in PET images that can be lowered by accounting...
Studies have shown that incorporating measurement-derived point spread functions (PSFs) in reconstru...
International audienceObjectives: In this study we compare an OSEM algorithm incorporating measured ...
Positron Emission Tomography (PET) is a functional imaging technique used for the measurement of the...
Abstract—Lesion detectability and quantification in fluorine- 18-fluorodeoxyglucose positron emissio...
Proceeding of: 2005 IEEE Nuclear Science Symposium Conference Record, Puerto Rico, 23-29 Oct. 2005Sm...
Positron emission tomography (PET) images usually suffer from limited resolution and statistical unc...
Incorporation of a resolution model during statistical image reconstruction often produces images of...
Brain PET in small structures is challenged by low resolution in-ducing bias in the activity measure...
Spatial resolution is an important metric for performance characterization in PET systems. Measuring...
Measuring and incorporating a scanner-specific point spread function (PSF) within image reconstructi...
Abstract—Positron range effect is one of the fundamental factors limiting the spatial resolution of ...
A spatially variant resolution modelling technique is presented which estimates the system matrix on...
The poor spatial resolution of Positron emission tomography (PET) images has limited the application...
Positron emission tomography (PET) scanners usually present a spatially variant loss of spatial reso...
Partial volume effect is an important source of bias in PET images that can be lowered by accounting...
Studies have shown that incorporating measurement-derived point spread functions (PSFs) in reconstru...
International audienceObjectives: In this study we compare an OSEM algorithm incorporating measured ...
Positron Emission Tomography (PET) is a functional imaging technique used for the measurement of the...
Abstract—Lesion detectability and quantification in fluorine- 18-fluorodeoxyglucose positron emissio...
Proceeding of: 2005 IEEE Nuclear Science Symposium Conference Record, Puerto Rico, 23-29 Oct. 2005Sm...
Positron emission tomography (PET) images usually suffer from limited resolution and statistical unc...
Incorporation of a resolution model during statistical image reconstruction often produces images of...
Brain PET in small structures is challenged by low resolution in-ducing bias in the activity measure...
Spatial resolution is an important metric for performance characterization in PET systems. Measuring...
Measuring and incorporating a scanner-specific point spread function (PSF) within image reconstructi...
Abstract—Positron range effect is one of the fundamental factors limiting the spatial resolution of ...
A spatially variant resolution modelling technique is presented which estimates the system matrix on...
The poor spatial resolution of Positron emission tomography (PET) images has limited the application...
Positron emission tomography (PET) scanners usually present a spatially variant loss of spatial reso...
Partial volume effect is an important source of bias in PET images that can be lowered by accounting...
Studies have shown that incorporating measurement-derived point spread functions (PSFs) in reconstru...
International audienceObjectives: In this study we compare an OSEM algorithm incorporating measured ...