Skip to main content
Journal cover image
Computed Tomography: Approaches, Applications, and Operations

CT material identification

Publication ,  Chapter
Vernuccio, F; Marin, D
January 1, 2019

Technical advances in CT imaging have improved ability to discriminate different materials, going beyond the attenuation imaging provided by most current systems. Nowadays, dual-energy CT systems allow for material identification and quantification providing qualitative and quantitative information about tissue composition and contrast agent distribution. This chapter explores the general principles of material decomposition analysis, as well as the technical implementations of single- and dual-source CT systems and the clinical advantages and prospects.

Duke Scholars

DOI

ISBN

9783030269562

Publication Date

January 1, 2019

Start / End Page

305 / 318
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Vernuccio, F., & Marin, D. (2019). CT material identification. In Computed Tomography: Approaches, Applications, and Operations (pp. 305–318). https://doi.org/10.1007/978-3-030-26957-9_16
Vernuccio, F., and D. Marin. “CT material identification.” In Computed Tomography: Approaches, Applications, and Operations, 305–18, 2019. https://doi.org/10.1007/978-3-030-26957-9_16.
Vernuccio F, Marin D. CT material identification. In: Computed Tomography: Approaches, Applications, and Operations. 2019. p. 305–18.
Vernuccio, F., and D. Marin. “CT material identification.” Computed Tomography: Approaches, Applications, and Operations, 2019, pp. 305–18. Scopus, doi:10.1007/978-3-030-26957-9_16.
Vernuccio F, Marin D. CT material identification. Computed Tomography: Approaches, Applications, and Operations. 2019. p. 305–318.
Journal cover image

DOI

ISBN

9783030269562

Publication Date

January 1, 2019

Start / End Page

305 / 318