The Effect of the Virtual Monochromatic Spectral Imaging for the Metallic Artifact and the Pulmonary Nodule Detection

Autor: Ayano Kikuyama, Osamu Honda, Yutaka Kawata, Mitsuhiro Koyama, Masahiro Yanagawa, Hiromitsu Sumikawa, Noriyuki Tomiyama, Tomoko Gyobu, Hiromu Miki
Rok vydání: 2013
Předmět:
Zdroj: Journal of Computer Assisted Tomography. 37:707-711
ISSN: 0363-8715
DOI: 10.1097/rct.0b013e31829e0164
Popis: OBJECTIVES This study aimed to evaluate whether dual-energy computed tomography can reduce metal artifacts and improve detection of pulmonary nodules. METHODS Twelve simulated nodules were randomly placed inside a chest phantom with a pacemaker. Then, dual-energy computed tomography was performed, and 5 virtual monochromatic images at 40, 50, 65, 100, and 140 keV were reconstructed with 5- and 0.625-mm slice thicknesses. Two independent observers assessed the metal artifact (3-point scale from 1, none, to 3, severe) and detection of the nodule (5-point scale from 1, definitely absent, to 5, definitely present). Statistical analysis was performed with a P value of less than 0.01 (0.05/5). RESULTS With both slice thicknesses, the metallic artifact increased at 40 or 50 keV and decreased at 100 or 140 keV relative to that at 65 keV (P < 0.01). The nodule detection score was not significantly different between each kiloelectron volt level with the 0.625-mm slice thickness; however, the score was significantly worse at 40 keV compared to 65 keV (P < 0.01) with the 5-mm slice thickness. CONCLUSIONS High monochromatic energy images can reduce metal artifacts without a change in nodule detection score. Low monochromatic energy images increase metal artifacts and worsen nodule detection in thick slices.
Databáze: OpenAIRE