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Benefit of iodine density images to reduce out-of-field image artifacts at rapid kVp switching dual-energy CT

Dotson, Brandan; Lambert, Jack W; Wang, Zhen J; Sun, Yuxin; Ohliger, Michael A; Winklhofer, Sebastian; Yeh, Benjamin M (2017). Benefit of iodine density images to reduce out-of-field image artifacts at rapid kVp switching dual-energy CT. Abdominal Radiology, 42(3):735-741.

Abstract

PURPOSE: To evaluate the reduction of out-of-field artifacts caused by body parts outside the field of view (FOV) at rapid kVp switching dual-energy CT (rsDECT).
MATERIALS AND METHODS: This retrospective study was approved by our institutional review board. Informed consent was not required. We viewed 246 consecutive rsDECT thoracoabdominal scans to identify those with body parts outside the maximal FOV of 50 cm. The maximal length, thickness, and subjective severity of the out-of-field artifacts were recorded for the 40, 65, and 140 keV virtual monochromatic and iodine and water density images. Artifact severity was rated on a 6-point scale from 0 = absent to 5 = obscures intraabdominal/intrathoracic anatomic detail. Artifact thickness and severity scores were compared by t-test and Wilcoxon tests, respectively.
RESULTS: In 20 of 246 scans (8.1%), body parts extended past the maximum FOV of 50 cm. The mean BMI of these 20 patients was 40.2 kg/m(2) (range, 26.83-61.69 kg/m(2)), and out-of-field artifacts occurred for all 20. The mean out-of-field artifact maximal length was 16.6 cm. The mean artifact thickness was significantly less for iodine density (0.6 mm) than for the 65 keV and water density images (8.4 and 13.5 mm, respectively, p < 0.001 each comparison). The mean artifact severity score was lower for iodine density (0.2) than for the 65 keV and water density images (2.5 and 2.6, respectively, p < 0.001 each).
CONCLUSION: Iodine density images reduce out-of-field image artifact at rsDECT and assists in the evaluation of peripheral tissues that extend beyond the maximal CT FOV.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Neuroradiology
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Health Sciences > Radiological and Ultrasound Technology
Health Sciences > Radiology, Nuclear Medicine and Imaging
Health Sciences > Gastroenterology
Health Sciences > Urology
Language:English
Date:2017
Deposited On:08 Feb 2017 11:10
Last Modified:17 Aug 2024 03:37
Publisher:Springer
ISSN:2366-004X
OA Status:Closed
Publisher DOI:https://doi.org/10.1007/s00261-016-0978-2
PubMed ID:27847997
Project Information:
  • Funder: SNSF
  • Grant ID: P2SKP3_151973
  • Project Title: Advanced Imaging Techniques for Evaluation of Hepatic Fibrosis in Patients with Chronic Liver Disease
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