CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12242 > Article
Presentation + Paper
14 October 2022 An accelerated motion-compensated iterative reconstruction technique for dynamic computed tomography
A. T. Nguyen, Jens Renders, J. Soete, M. Wevers, J. Sijbers, J. De Beenhouwer
Author Affiliations +
Proceedings Volume 12242, Developments in X-Ray Tomography XIV; 122421F (2022) https://doi.org/10.1117/12.2631570
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States
Abstract
This work presents an efficient technique for simultaneously reconstructing an image of a moving object from X-ray projections along with estimating the motion parameters. Current state-of-the-art iterative methods rely on objective functions that contain the solution of an iterative procedure as one of its terms. This complicates the reconstruction process as it leads to nested iterations and makes analytic differentiation impractical. The presented technique relies on an objective function that simultaneously depends on the image and the motion parameters. The derivatives of this objective function towards the image and the motion parameters are known exactly and implemented matrix free and in parallel. Moreover, the stepsizes of both the iterative reconstruction and motion parameter estimation schemes are chosen following a mathematical formulation that guarantees a fast convergence speed. The result is a method that not only needs less iterations, but also removes the need to tune the finite differences stepsize and the number of inner iterations, which allows for efficient, scalable reconstruction using modern optimizers, without nested iterations.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
A. T. Nguyen, Jens Renders, J. Soete, M. Wevers, J. Sijbers, and J. De Beenhouwer "An accelerated motion-compensated iterative reconstruction technique for dynamic computed tomography", Proc. SPIE 12242, Developments in X-Ray Tomography XIV, 122421F (14 October 2022); https://doi.org/10.1117/12.2631570
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
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
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 6 PAGES + PRESENTATION
DOWNLOAD PAPER SAVE TO MY LIBRARY
WATCH
PRESENTATION
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Computed tomography
Motion estimation
Motion models
Tomography
X-ray imaging
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top