GAN-based sinogram completion for slow triple kVp switching CT

Wenchao Cao; Nadav Shapira; Peter B. Noël

doi:10.1117/12.2580735

15 February 2021 GAN-based sinogram completion for slow triple kVp switching CT

Wenchao Cao, Nadav Shapira, Peter B. Noël

Proceedings Volume 11595, Medical Imaging 2021: Physics of Medical Imaging; 115952O (2021) https://doi.org/10.1117/12.2580735
Event: SPIE Medical Imaging, 2021, Online Only

Conference Poster

Abstract

The feasibility of acquiring multi-energy CT data through slow modulation of the kVp as an alternative to photon-counting detectors (PCDs) is currently under exploration. A low kVp-switching rate can be enabled with a conventional CT system but raises challenges due to missing sinogram views. Our previous work used a CNN-based method for sinogram completion by generating full-sampled images from undersampled sinograms, providing an acceptable image quality at a 22°/kVp switching rate. The purpose of this study was to investigate a GAN-based spectral sinogram completion method for enabling a lower kVp switching rate. A Pix2Pix GAN model with paired undersampled sinogram of 45° or 120° projections/kVp and its corresponding full-sampled sinogram was implemented and trained. The completed data was subsequently used to perform sinogram domain material decomposition. Our results on a simulated FORBILD abdomen phantom dataset showed that the GAN-based method can further lower the kVp switching rate to 45° projections/kVp. The proposed GAN-based sinogram completion method facilitates slow-kVp switching acquisitions and thus further relaxes hardware requirements.

Conference Presentation

Citation Download Citation

Wenchao Cao, Nadav Shapira, and Peter B. Noël "GAN-based sinogram completion for slow triple kVp switching CT", Proc. SPIE 11595, Medical Imaging 2021: Physics of Medical Imaging, 115952O (15 February 2021); https://doi.org/10.1117/12.2580735

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available