publication . Article . 2014

Isotope specific resolution recovery image reconstruction in high resolution PET imaging

Kotasidis Fotis A.; Kotasidis Fotis A.; Angelis Georgios I.; Anton-Rodriguez Jose; Matthews Julian C.; Reader Andrew J.; Reader Andrew J.; Zaidi Habib; Zaidi Habib; Zaidi Habib;
Open Access English
  • Published: 01 Jan 2014
  • Country: Switzerland
Purpose: Measuring and incorporating a scanner-specific point spread function (PSF) within image reconstruction has been shown to improve spatial resolution in PET. However, due to the short half-life of clinically used isotopes, other long-lived isotopes not used in clinical practice are used to perform the PSF measurements. As such, non-optimal PSF models that do not correspond to those needed for the data to be reconstructed are used within resolution modeling (RM) image reconstruction, usually underestimating the true PSF owing to the difference in positron range. In high resolution brain and preclinical imaging, this effect is of particular importance since...
free text keywords: Algorithms, Brain Neoplasms/radionuclide imaging, Carbon Radioisotopes/diagnostic use, Feasibility Studies, Fluorine Radioisotopes/diagnostic use, Head/radionuclide imaging, Humans, Image Processing, Computer-Assisted/methods, Oligodendroglioma/radionuclide imaging, Phantoms, Imaging, Positron-Emission Tomography/instrumentation/methods, Radiopharmaceuticals/diagnostic use, point spread function, positron range, radioactive printing, HRRT, PET, brain imaging, POSITRON-EMISSION-TOMOGRAPHY, POINT-SOURCE MEASUREMENTS, SYSTEM MATRIX, MATHEMATICAL REMOVAL, SPREAD FUNCTION, RANGE, SPACE, ALGORITHM, IMPACT, OSEM, General Medicine, ddc:616.0757, Image sensor, Imaging phantom, Image resolution, Image processing, Nuclear magnetic resonance, Optical transfer function, Artificial intelligence, business.industry, business, Computer science, Iterative reconstruction, Tomography, Computer vision
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Funded by
SNSF| Towards motion compensated direct 4D parametric whole-body PET imaging
  • Funder: Swiss National Science Foundation (SNSF)
  • Project Code: 31003A_149957
  • Funding stream: Project funding | Project funding (Div. I-III)
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