Recent advances in techniques for PET image denoising and partial volume correction

Ziyue Xu; Mingchen Gao; Ulas Bagci; Daniel J. Mollura

Radiological Society of North America (RSNA), 101st Scientific Assembly and Annual Meeting, November 29–December 4, 2015, McCormick Place, Chicago

Abstract

An abstract is not available in the lab archive. View the paper at its source.

This RSNA 2015 educational exhibit reviewed challenges and methods in PET image denoising and partial volume correction, including approaches using functional images alone and hybrid PET/CT or PET/MRI data.

Summary

The RSNA program lists this work as an educational exhibit, NM004-EB-WEB, at the 101st Scientific Assembly and Annual Meeting. Its teaching points covered challenges in PET image processing, approaches to denoising and partial volume correction, methods for evaluating image quality, and preprocessing for hybrid PET/CT and PET/MRI. The program outline distinguishes correction methods based on functional images alone from those that also use anatomical images. (archive.rsna.org)

Cite this work

Ziyue Xu; Mingchen Gao; Ulas Bagci; Daniel J. Mollura (2015). Recent advances in techniques for PET image denoising and partial volume correction. Radiological Society of North America (RSNA), 101st Scientific Assembly and Annual Meeting, November 29–December 4, 2015, McCormick Place, Chicago https://archive.rsna.org/2015/NuclearMedicine.pdf

BibTeX