Feasibility and accuracy of tissue characterization with dual source computed tomography |
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| Authors: | Joanne K Van Abbema Arjen Van der Schaaf Wisnu Kristanto Jaap M Groen Marcel JW Greuter |
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| Institution: | 1. Imaging Program, Lawson Health Research Institute, London, Ontario, Canada;2. Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada;3. Division of Cardiology, London Health Sciences Centre, London, Ontario, Canada;4. Department of Radiology, St Joseph''s Healthcare, London, Ontario, Canada;5. CT Engineering, GE Healthcare, Waukesha, WI, United States;1. Department of Radiology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan;2. Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan;3. Department of Cardiovascular and Thoracic Surgery, Ehime University Graduate School of Medicine, Toon, Ehime, Japan |
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| Abstract: | PurposeTo evaluate the feasibility and accuracy of a model for tissue characterization with dual source computed tomography (DSCT).Methods and MaterialsA model for tissue characterization in CT was used with a parameterization of linear attenuation coefficients. Sixteen chemical substances with effective atomic numbers between 5.21 and 13.08 and electron densities between 2.20 and 4.12 x1023 electrons/cm3 were scanned at energies of 80 and 140 kV on a DSCT. From the reconstructed dual energy data sets, effective atomic numbers and electron densities of the substances were calculated.ResultsOur presented model using DSCT approximated the effective atomic numbers and effective electron densities of 16 substances very well. The measured effective atomic numbers deviated 3.4 ± 6.8% (R2 = 0.994) from theoretical effective atomic numbers. In addition, measured effective electron densities deviated ?0.6 ± 2.2% (R2 = 0.999) from theoretical effective electron densities.ConclusionEffective atomic numbers and effective electron densities can be determined with a high accuracy with DSCT. Therefore the model can be of potential benefit for clinical applications of quantitative tissue characterization with DSCT. |
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