Fully 3-D PET reconstruction with system matrix derived from point source measurements

Panin, V.Y.; Kehren, F.; Michel, C.; Casey, M.

doi:10.1109/tmi.2006.876171

Cited by 536Medical Imaging Techniques and ApplicationsCardiac Imaging and DiagnosticsAdvanced X-ray and CT Imaging

Fully 3-D PET reconstruction with system matrix derived from point source measurements

Panin, V.Y., Kehren, F., Michel, C., Casey, M.·2006·IEEE Transactions on Medical Imaging

DOI 10.1109/tmi.2006.876171

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Abstract

The quality of images reconstructed by statistical iterative methods depends on an accurate model of the relationship between image space and projection space through the system matrix The elements of the system matrix for the clinical Hi-Rez scanner were derived by processing the data measured for a point source at different positions in a portion of the field of view. These measured data included axial compression and azimuthal interleaving of adjacent projections. Measured data were corrected for crystal and geometrical efficiency. Then, a whole system matrix was derived by processing the responses in projection space. Such responses included both geometrical and detection physics components of the system matrix. The response was parameterized to correct for point source location and to smooth for projection noise. The model also accounts for axial compression (span) used on the scanner. The forward projector for iterative reconstruction was constructed using the estimated response parameters. This paper extends our previous work to fully three-dimensional. Experimental data were used to compare images reconstructed by the standard iterative reconstruction software and the one modeling the response function. The results showed that the modeling of the response function improves both spatial resolution and noise properties.

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Discrepancies about PSF may stem from the ability of PSF to increase lesion contrast recovery being most prominent at the periphery of the transaxial FOV and in small, high-contrast lesions such as pulmonary nodules.
“These discrepancies may stem from the fact that the ability of PSF to increase lesion CR is most prominent at the periphery of the transaxial FOV [98,166,167] and in small, high-contrast lesions [95], such as pulmonary nodules.”
From Influences on PET Quantification and Interpretation (2022) · cites this paper as [167]

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PET reconstruction with system matrix derived from point source measurements
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Authors: Panin, V. Y., Kehren, F., Michel, C., & Casey, M.
Affiliations: Siemens Healthcare (United States) (US)
ORCID: Panin, V.Y.
Michel, C.
Venue: IEEE Transactions on Medical Imaging
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2006-07
Volume: 25
Issue: 7
Pages: 907-921
ISSN: 0278-0062 (ISSN-L)
DOI: 10.1109/tmi.2006.876171
OpenAlex: W2169683146
Cited by: 536
References: 30
Citations by year: 2026: 6 · 2025: 8 · 2024: 16 · 2023: 16 · 2022: 17 · 2021: 23 · 2020: 35 · 2019: 23 · 2018: 26 · 2017: 31 · 2016: 33 · 2015: 33 · 2014: 48 · 2013: 39 · 2012: 45
FWCI: 16.79
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE Transactions on Medical Imaging (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
Physical Sciences › Engineering › Biomedical Engineering › Advanced X-ray and CT Imaging
Keywords: point source measurements, iterative reconstruction, axial compression, spatial resolution, noise characteristics
MeSH terms: Algorithms, Image Enhancement, Image Interpretation, Computer-Assisted, Sensitivity and Specificity, Signal Processing, Computer-Assisted, Reproducibility of Results, Phantoms, Imaging, Imaging, Three-Dimensional, Positron-Emission Tomography

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Fully 3-D PET reconstruction with system matrix derived from point source measurements

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