MADplots: A methodology for visualizing and characterizing energy-dependent attenuation of tissues in spectral computed tomography

MADplots: A methodology for visualizing and characterizing energy-dependent attenuation of tissues in spectral computed tomography

Rationale and objectives: A method for visualizing and analyzing the complete information contained in spectral CT scans using two-dimensional histograms (i.e. Material Attenuation Decomposition plots – MADplots) of the water-photoelectric attenuation versus water-scatter attenuation at the cohort (...

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Bibliographic Details
Main Authors: Matthew A. Lewis, PhD, Todd C. Soesbe, PhD, Xinhui Duan, PhD, Liran Goshen, PhD, Yoad Yagil, PhD, Shlomo Gotman, MSc, Robert E. Lenkinski, PhD
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Research in Diagnostic and Interventional Imaging
Subjects:
Tomography, X-ray computed / methods
Radiographic image interpretation
Computer-assisted / methods/
2D-histograms
Retrospective studies
Online Access:http://www.sciencedirect.com/science/article/pii/S2772652522000114

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http://www.sciencedirect.com/science/article/pii/S2772652522000114

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