Automated nonlinear registration of coronary PET to CT angiography using pseudo-CT generated from PET with generative adversarial networks.

ABSTRACT:

Background

Coronary ¹⁸F-sodium-fluoride (¹⁸F-NaF) positron emission tomography (PET) showed promise in imaging coronary artery disease activity. Currently image processing remains subjective due to the need for manual registration of PET and computed tomography (CT) angiography data. We aimed to develop a novel fully automated method to register coronary ¹⁸F-NaF PET to CT angiography using pseudo-CT generated by generative adversarial networks (GAN).

Methods

A total of 169 patients, 139 in the training and 30 in the testing sets were considered for generation of pseudo-CT from non-attenuation corrected (NAC) PET using GAN. Non-rigid registration was used to register pseudo-CT to CT angiography and the resulting transformation was used to alig

SUBMITTER: Singh A 

PROVIDER: S-EPMC9747983 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature