Purpose: The aim of this study was to investigate the value of radiomics analysis of iodine-
based material decomposition (MD) images with dual-energy computed tomography (DECT) …

Objective: Spectral detector CT (SDCT) has many applications in advanced liver imaging. If
appropriately utilized, this technology has the potential to improve image quality, provide …

OBJECTIVE. Dual-energy CT is gaining increasing recognition as a valuable diagnostic tool
for assessing abdominal neoplasms. Nevertheless, much of the literature has focused on its …

Rationale and Objectives To compare the accuracy of iodine quantification in liver
parenchyma and lesions between dual-source photon-counting detector CT (PCD-CT) and …

Introduction To investigate the utility of quantitative dual-energy spectral CT derived iodine
concentration (IC), in comparison with conventional CT attenuation, for the differentiation of …

Purpose The purpose of this paper is to present an end‐to‐end deep convolutional neural
network to improve the dual‐energy CT (DECT) material decomposition performance …

OBJECTIVE. This study assessed a machine learning–based dual-energy CT (DECT) tumor
analysis prototype for semiautomatic segmentation and radiomic analysis of benign and …

Spectral CT has been increasingly implemented clinically for its better characterization and
quantification of materials through its multi-energy results. It also facilitates calculation of …

Objectives The aim of this study was to assess the objective and subjective image
characteristics of monoenergetic images (MEI [+]), using a noise-optimized algorithm at …

OBJECTIVE. The objective of this study was to evaluate the feasibility of histographic
analysis of iodine concentration (IC) and CT number on single-source dual-energy CT …