PET NEMA IQ Phantom dataset: image reconstruction settings for quantitative PET imaging

NEMA image quality phantom measurements and attenuation correction in integrated PET/MR hybrid imaging

BACKGROUND In integrated PET/MR hybrid imaging the evaluation of PET performance characteristics according to the NEMA standard NU 2-2007 is challenging because of incomplete MR-based attenuation correction (AC) for phantom imaging. In this study, a strategy for CT-based AC of the NEMA image quality (IQ) phantom is assessed. The method is systematically evaluated in NEMA IQ phantom measurements...

4D‐PET data sorting into different number of phases: a NEMA IQ phantom study

This study aims at evaluating the dependence of 4D-PET data sorting on the number of phases in which the respiratory cycle can be divided. The issue is to find the best compromise to reduce the conflicting effects induced by increasing the number of phases: lesion motion on each set of images decreases, but on the other hand image noise increases. The IQ NEMA 2001 IEC body phantom was used to s...

Quantitative PET comparing gated with nongated acquisitions using a NEMA phantom with respiratory-simulated motion.

UNLABELLED This study evaluated the use of gated versus nongated PET acquisitions for absolute quantification of radioisotope concentration (RC) in a respiratory motion-simulated moving phantom filled with radioactive spheres and background for both 2-dimensional (2D) and 3-dimensional (3D) acquisitions. METHODS An image-quality phantom with all 6 spheres filled with the same (18)F RC (range,...

Image Reconstruction Techniques for PET

PET Image Reconstruction

Positron emission tomography (PET) scanners collect measurements of a patient’s in vivo radiotracer distribution. These measurements are reconstructed into cross-sectional images. Tomographic image reconstruction forms images of functional information in nuclear medicine applications and the same principles can be applied to modalities such as X-ray computed tomography. This chapter provides a ...