A computation method of dual-material separation based on dual-energy CT imaging

Jing Zou; Ming Chen; Jintao Zhao; Hanyu Lv; Xiaodong Hu

doi:10.1117/12.2204870

15 October 2015 A computation method of dual-material separation based on dual-energy CT imaging

Jing Zou, Ming Chen, Jintao Zhao, Hanyu Lv, Xiaodong Hu

Proceedings Volume 9672, AOPC 2015: Advanced Display Technology; and Micro/Nano Optical Imaging Technologies and Applications; 967216 (2015) https://doi.org/10.1117/12.2204870
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China

Abstract

Dual-energy x-ray technique, which consists in combining two radiographs acquired at two kilovoltage, can improve the identity of the compositions of object over regular CT, or at least improve image contrast. Dual-energy equations can be easily written and solved for ideally monochromatic x-ray source and perfect detector, but become complex when considering polychromatic x-ray source, detector sensitivity, and system non–linearity. In this paper, a new dual-energy algorithm which employed the basis material decomposition method was investigated for improving material separation capability. Studies by using computer-simulated data were performed to validate and evaluate the algorithm. The preliminary results of the study show that, with the proposed algorithm, separated “material specific” images of dual-material object could be obtained. Also monochromatic image can be acquired at arbitrary desired energy which could enhance image contrast in comparison with conventional reconstructed image.

Citation Download Citation

Jing Zou, Ming Chen, Jintao Zhao, Hanyu Lv, and Xiaodong Hu "A computation method of dual-material separation based on dual-energy CT imaging", Proc. SPIE 9672, AOPC 2015: Advanced Display Technology; and Micro/Nano Optical Imaging Technologies and Applications, 967216 (15 October 2015); https://doi.org/10.1117/12.2204870

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