Skip to main content

Iodine quantification using dual-energy multidetector computed tomography imaging: phantom study assessing the impact of iterative reconstruction schemes and patient habitus on accuracy.

Publication ,  Journal Article
Feuerlein, S; Heye, TJ; Bashir, MR; Boll, DT
Published in: Invest Radiol
November 2012

PURPOSE: The aim of this study was to assess the accuracy of iodine quantification based on spectral dual-energy computed tomography (DECT) extraction with additional noise reduction using iterative reconstruction in simulated optimal and obese patient environments. MATERIALS AND METHODS: Two custom-designed DECT phantoms were containing 10 vials with iodine concentrations representing arterial/parenchymal enhancement ranging from water isodensity to -150 Hounsfield units and, in addition, 40 vials simulating enhancement seen in nondiluted thoracic inlet vasculature and urinary bladder/renal collecting systems of up to -2000 Hounsfield units.Dual-energy computed tomography acquisition was performed using a dual-source scanner at 140 kVp/90 mAs and 80 kVp/495 mAs. Backprojection-based soft tissue kernels and corresponding iteratively reconstructed kernels generated dual-energy series used for iodine extraction.Fractional variations between known and spectrally determined iodine concentration were calculated for each concentration step; paired t tests evaluated variations between backprojected and iteratively reconstructed data sets for small and obese phantoms. Bland-Altman plots with regression analyses assessed concentration differences observed in backprojected and iteratively reconstructed data. RESULTS: For backprojected data, mean concentration variations of 8.7% ± 8.4 and 12.2% ± 6.3 were detected in small and large phantoms, respectively, compared with significantly less variation observed in iteratively reconstructed data with 6.1% ± 6.2 and 11.0% ± 6.5, respectively. Dual-energy quantification systematically overestimated concentrations in lower concentration ranges and underestimated concentrations in higher concentration ranges. Regression analyses showed cubic distribution of concentration differences for backprojected (R = 0.697) and linear distribution for iteratively reconstructed data (R = 0.701). CONCLUSION: Spectral DECT-based iodine quantification is able to accurately quantify iodine in phantoms simulating optimal and large patients; iterative reconstruction improves the accuracy of iodine detection. Systematic deviations of the spectrally determined iodine concentrations could potentially be corrected with weighting curves.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Invest Radiol

DOI

EISSN

1536-0210

Publication Date

November 2012

Volume

47

Issue

11

Start / End Page

656 / 661

Location

United States

Related Subject Headings

  • Software
  • Regression Analysis
  • Phantoms, Imaging
  • Obesity
  • Nuclear Medicine & Medical Imaging
  • Multidetector Computed Tomography
  • Iodine
  • Humans
  • Contrast Media
  • Algorithms
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Feuerlein, S., Heye, T. J., Bashir, M. R., & Boll, D. T. (2012). Iodine quantification using dual-energy multidetector computed tomography imaging: phantom study assessing the impact of iterative reconstruction schemes and patient habitus on accuracy. Invest Radiol, 47(11), 656–661. https://doi.org/10.1097/RLI.0b013e31826585bb
Feuerlein, Sebastian, Tobias J. Heye, Mustafa R. Bashir, and Daniel T. Boll. “Iodine quantification using dual-energy multidetector computed tomography imaging: phantom study assessing the impact of iterative reconstruction schemes and patient habitus on accuracy.Invest Radiol 47, no. 11 (November 2012): 656–61. https://doi.org/10.1097/RLI.0b013e31826585bb.
Feuerlein, Sebastian, et al. “Iodine quantification using dual-energy multidetector computed tomography imaging: phantom study assessing the impact of iterative reconstruction schemes and patient habitus on accuracy.Invest Radiol, vol. 47, no. 11, Nov. 2012, pp. 656–61. Pubmed, doi:10.1097/RLI.0b013e31826585bb.

Published In

Invest Radiol

DOI

EISSN

1536-0210

Publication Date

November 2012

Volume

47

Issue

11

Start / End Page

656 / 661

Location

United States

Related Subject Headings

  • Software
  • Regression Analysis
  • Phantoms, Imaging
  • Obesity
  • Nuclear Medicine & Medical Imaging
  • Multidetector Computed Tomography
  • Iodine
  • Humans
  • Contrast Media
  • Algorithms