Share Email Print
cover

Proceedings Paper

Comparative study of dual energy cone-beam CT using a dual-layer detector and kVp switching for material decomposition
Author(s): Linxi Shi; N. Robert Bennett; Edward Shapiro; Richard E. Colbeth; Josh Star-Lack; Minghui Lu; Adam S. Wang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Cone-beam CT (CBCT) is widely used in diagnostic imaging and image-guided procedures, leading to an increasing need for advanced CBCT techniques, such as dual energy (DE) imaging. Previous studies have shown that DECBCT can perform quantitative material decomposition, including quantification of contrast agents, electron density, and virtual monoenergetic images. Currently, most CBCT systems perform DE imaging using a kVp switching technique. However, the disadvantages of this method are spatial and temporal misregistration as well as total scan time increase, leading to errors in the material decomposition. DE-CBCT with a dual layer flat panel detector potentially overcomes these limitations by acquiring the dual energy images simultaneously. In this work, we investigate the DE imaging performance of a prototype dual layer detector by evaluating its material decomposition capability and comparing its performance to that of the kVp switching method. Two sets of x-ray spectra were used for kVp switching: 80/120 kVp and 80/120 kVp + 1 mm Cu filtration. Our results show the dual layer detector outperforms kVp switching at 80/120 kVp with matched dose. The performance of kVp switching was better by adding 1 mm copper filtration to the high energy images (80/120 kVp + 1 mm Cu), though the dual layer detector still provided comparable performance for material decomposition tasks. Overall, both the dual layer detector and kVp switching methods provided quantitative material decomposition images in DE-CBCT, with the dual layer detector having additional potential advantages.

Paper Details

Date Published: 16 March 2020
PDF: 6 pages
Proc. SPIE 11312, Medical Imaging 2020: Physics of Medical Imaging, 1131220 (16 March 2020); doi: 10.1117/12.2549781
Show Author Affiliations
Linxi Shi, Stanford Univ. (United States)
N. Robert Bennett, Stanford Univ. (United States)
Edward Shapiro, Varex Imaging (United States)
Richard E. Colbeth, Varex Imaging (United States)
Josh Star-Lack, Varex Imaging (United States)
Minghui Lu, Varex Imaging (United States)
Adam S. Wang, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 11312:
Medical Imaging 2020: Physics of Medical Imaging
Guang-Hong Chen; Hilde Bosmans, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray