A recent entry into the rapidly evolving field of integrated PET/MR scanners is presented in
this paper: a whole body hybrid PET/MR system (SIGNA PET/MR, GE Healthcare) capable of …

Purpose To enhance the image quality of oncology [ 18 F]-FDG PET scans acquired in shorter
times and reconstructed by faster algorithms using deep neural networks. Methods List-…

Purpose To improve the quantitative accuracy and diagnostic confidence of PET images
reconstructed without time-of-flight (ToF) using deep learning models trained for ToF image …

As positron emission tomography (PET) imaging is becoming more prevalent in clinical
practice, it is reasonable to ask if there will be a role for single photon emission computed …

A significant challenge during high-resolution PET brain imaging on PET/MR scanners is
patient head motion. This challenge is particularly significant for clinical patient populations …

Standard clinical reconstructions usually require several minutes to complete, and this time
is mostly independent of the duration of the data being reconstructed. Applications such as …

Accurate and robust attenuation correction remains challenging in hybrid PET/MR particularly
for torsos because it is difficult to segment bones, lungs and internal air in MR images. …

This work demonstrates how computational and physical modelling of the positron emission
tomography (PET) image acquisition process for a state-of-the-art integrated PET and …

Purpose Hybrid positron emission tomography/magnetic resonance (PET/MR) imaging is a
new multimodality imaging technology that can provide structural and functional information …

Purpose Data‐driven rigid motion estimation for PET brain imaging is usually performed
using data frames sampled at low temporal resolution to reduce the overall computation time …