Dual energy computed tomography is becoming increasingly widespread in clinical practice. It can expand on the traditional density-based data achievable with single energy computed tomography by adding novel applications to help reach a more accurate diagnosis. The implementation of this technology in cardiothoracic vascular imaging allows for improved image contrast, metal artifact reduction, generation of virtual unenhanced images, virtual calcium subtraction techniques, cardiac and pulmonary perfusion evaluation, and plaque characterization. The improved diagnostic performance afforded by dual energy computed tomography is not associated with an increased radiation dose. This review provides an overview of dual energy computed tomography cardiothoracic vascular applications.

Dual-Energy Computed Tomography in Cardiothoracic Vascular Imaging

Laghi, Andrea;
2018-01-01

Abstract

Dual energy computed tomography is becoming increasingly widespread in clinical practice. It can expand on the traditional density-based data achievable with single energy computed tomography by adding novel applications to help reach a more accurate diagnosis. The implementation of this technology in cardiothoracic vascular imaging allows for improved image contrast, metal artifact reduction, generation of virtual unenhanced images, virtual calcium subtraction techniques, cardiac and pulmonary perfusion evaluation, and plaque characterization. The improved diagnostic performance afforded by dual energy computed tomography is not associated with an increased radiation dose. This review provides an overview of dual energy computed tomography cardiothoracic vascular applications.
2018
calcium subtraction
cardiac ct perfusion
dual energy computed tomography
metal artifact reduction
plaque analysis
pulmonary ct perfusion
virtual monoenergetic images
virtual noncontrast images
artifacts
coronary vessels
heart
heart diseases
humans
lung
lung diseases
radiography
dual-energy scanned projection
tomography
x-ray computed
radiology
nuclear medicine and imaging
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11699/101030
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