Improved PET image quantification via iterative denoising and partial volume correction
SNMMI (Society of Nuclear Medicine and Molecular Imaging)
Abstract
An abstract is not available in the lab archive. View the paper at its source.
A 2015 SNMMI Annual Meeting abstract on iterative denoising and partial volume correction for PET image quantification. The available lab record identifies the authors, but the supplied citation differs on the final author and corresponding-author marker.
Summary
This conference abstract concerns iterative denoising and partial volume correction (PVC) for positron emission tomography (PET) image quantification. The Machine and Hybrid Intelligence Lab’s publication listing records the title under the 2015 Society of Nuclear Medicine and Molecular Imaging (SNMMI) meeting. The detailed abstract text and a primary SNMMI record for this specific item were not located, so no further study methods or results are summarized here.
Cite this work
Ziyue Xu; Ulas Bagci; Mingchen Gao; Daniel J. Mollura (2015). Improved PET image quantification via iterative denoising and partial volume correction. SNMMI (Society of Nuclear Medicine and Molecular Imaging)
BibTeX