CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 9033 > Article
Paper
19 March 2014 Noise study on cone-beam CT FDK image reconstruction by improved area-simulating-volume technique
Yan Liu, Jin Wang, Hao Zhang, Yi Fan, Zhengrong Liang
Author Affiliations +
Proceedings Volume 9033, Medical Imaging 2014: Physics of Medical Imaging; 903339 (2014) https://doi.org/10.1117/12.2043721
Event: SPIE Medical Imaging, 2014, San Diego, California, United States
Abstract
Previous studies have reported that the volume-weighting technique has advantages over the linear interpolation technique for cone-beam computed tomography (CBCT) image reconstruction. However, directly calculating the intersecting volume between the pencil beam X-ray and the object is a challenge due to the computational complexity. Inspired by previous works in area-simulating volume (ASV) technique for 3D positron emission tomography, we proposed an improved ASV (IASV) technique, which can fast calculate the geometric probability of the intersection between the pencil beam and the object. In order to show the improvements of using IASV technique in volumeweighting based Feldkamp–Davis–Kress (VW-FDK) algorithm compared to the conventional linear interpolation technique based FDK algorithm (LI-FDK), the variances images from both theoretical prediction and empirical determination are described basing on the assumption of the uncorrelated and stationary noise for each detector bin. In digital phantom study, both of the theoretically predicted variance images and the empirically determined variance images concurred and demonstrated that the VW-FDK algorithm can result in uniformly distributed noise across the FOV. In the physical phantom study, the performance enhancements by the VW-FDK algorithm were quantitatively evaluated by the contrast-noise-ratio (CNR) merit. The CNR values from the VW-FDK result were about 40% higher than the conventional LI-FDK result. Therefore it can be concluded that the VW-FDK algorithm can efficiently address the non-uniformity noise and suppress noise level of the reconstructed images.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Yan Liu, Jin Wang, Hao Zhang, Yi Fan, and Zhengrong Liang "Noise study on cone-beam CT FDK image reconstruction by improved area-simulating-volume technique", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 903339 (19 March 2014); https://doi.org/10.1117/12.2043721
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
 7 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors
Detection and tracking algorithms
Reconstruction algorithms
Algorithms
Image restoration
X-rays
3D image reconstruction
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top