You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
19 March 2014Noise study on cone-beam CT FDK image reconstruction by improved area-simulating-volume technique
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.
The alert did not successfully save. Please try again later.
Yan Liu, Jin Wang, Hao Zhang, Yi Fan, 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