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Research ArticleHead and Neck Imaging

Impact of Model-Based Iterative Reconstruction on Image Quality of Contrast-Enhanced Neck CT

S. Gaddikeri, J.B. Andre, J. Benjert, D.S. Hippe and Y. Anzai
American Journal of Neuroradiology February 2015, 36 (2) 391-396; DOI: https://doi.org/10.3174/ajnr.A4123
S. Gaddikeri
aFrom the Department of Neuroradiology (S.G., J.B.A., Y.A.), University of Washington Medical Center, University of Washington, Seattle, Washington
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J.B. Andre
aFrom the Department of Neuroradiology (S.G., J.B.A., Y.A.), University of Washington Medical Center, University of Washington, Seattle, Washington
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J. Benjert
bDepartment of Neuroradiology (J.B.), University of Washington and VA Puget Sound, Seattle, Washington
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D.S. Hippe
cDepartment of Radiology (D.S.H.), University of Washington, Seattle, Washington.
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Y. Anzai
aFrom the Department of Neuroradiology (S.G., J.B.A., Y.A.), University of Washington Medical Center, University of Washington, Seattle, Washington
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    Fig 1.

    Assessment of objective image quality at the level of the mandible (A) and superior mediastinum (B). Region of interest drawn to measure the SD of air bilaterally (background noise), attenuation of the sternocleidomastoid and pectoralis major muscles, internal jugular vein and superior vena cava, and surrounding fat for the estimation of signal-to-noise ratio and contrast-to-noise ratio.

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    Fig 2.

    Axial images of contrast-enhanced neck CT at the level of oropharynx reconstructed by using 30% adaptive statistical iterative reconstruction (A) and model-based iterative reconstruction (B). Note better conspicuity and definition of tumor margins on MBIR (arrows) compared with ASiR30 (arrows).

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    Fig 3.

    Axial images of contrast-enhanced neck CT at the level of oropharynx reconstructed by using 30% adaptive statistical iterative reconstruction (A) and model-based iterative reconstruction (B). Note a decrease in the streak artifacts related to dental amalgam particularly in the region of the base of the tongue, parotids, and foramen magnum and a poorer definition of fat planes in the parapharyngeal space on MBIR images.

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    Fig 4.

    Axial images of contrast-enhanced neck CT at the level of sternoclavicular junction reconstructed by using 30% adaptive statistical iterative reconstruction (A) and model-based iterative reconstruction (B). Artifacts are due to a thyroid shield in the display FOV specific for MBIR (arrows). Note the absence of these thyroid shield artifacts on images reconstructed by using ASiR30 (arrows).

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    Fig 5.

    Bar graph showing the percentage of agreement and disagreement between the 2 independent readers (1 and 2) for the assessment of subjective image quality at various levels and overall image quality in both categories (category I: ASiR>MBIR and category II: MBIR≥ASiR).

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    Table 1:

    Soft-tissue neck CT protocol

    CT Protocol
    Scanned region1 cm above the level of frontal sinus to aortopulmonary window
    TypeHelical 0.5-second duration.
    Pitch0.984:1
    Gantry tilt0°
    Section thickness and section interval0.625-mm-thick/0.625 interval and 40-mm detector coverage
    ReconstructionStandard soft-tissue algorithm with 2.5-mm thickness
    Matrix512 × 512
    Kilovolt(peak)140
    Noise index at 0.625-mm section thickness40 HU
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    Table 2:

    Quantitative assessment of image quality (N = 64 subjects)

    MBIRASiRDifference (MBIR-ASiR)
    Mean(95% CI)Mean(95% CI)Mean(95% CI)P Valuea
    Level 1 (angle of mandible)
        Mean of IJV (HU)130.3 ± 19.6(125.4–135.1)131.0 ± 19.2(126.2–135.8)−0.7 ± 2.7(−1.4 to −0.1).030
        Mean of SCM (HU)62.9 ± 5.0(61.7–64.2)64.4 ± 4.9(63.2–65.6)−1.5 ± 2.2(−2.0 to −0.9)<.001
        Mean of fat (HU)−81.4 ± 23.2(−87.2 to −75.6)−77.1 ± 23.3(−82.9 to −71.3)−4.2 ± 8.1(−6.3 to −2.2)<.001
        SD of IJV (HU)6.3 ± 2.6(5.7–7.0)7.3 ± 2.0(6.8–7.8)−1.0 ± 1.9(−1.5 to −0.6)<.001
        SD of SCM (HU)6.6 ± 1.4(6.3–7.0)7.1 ± 1.6(6.7–7.5)−0.5 ± 1.5(−0.8 to −0.1).020
        SD of air (BN) (HU)6.3 ± 9.2(4.0–8.6)7.8 ± 9.2(5.5–10.1)−1.5 ± 4.8(−2.7 to −0.3).016
        SNR of SCM16.2 ± 7.2(14.4–18.0)12.1 ± 4.3(11.0–13.2)4.1 ± 5.7(2.7–5.5)<.001
        CNR of IJV and SCM7.6 ± 2.6(7.0–8.3)6.8 ± 2.4(6.2–7.4)0.9 ± 1.4(0.5–1.2)<.001
    Lower level 2 (superior mediastinum)
        Mean of SVC (HU)119.8 ± 24.5(113.7–125.9)117.8 ± 23.7(111.8–123.7)2.0 ± 7.3(0.2–3.9).030
        Mean of PM (HU)55.6 ± 11.0(52.9–58.4)53.3 ± 13.0(50.1–56.5)2.3 ± 7.9(0.4–4.3).021
        Mean of fat (HU)−101.3 ± 19.4(−106.2 to −96.5)−98.9 ± 18.1(−103.4 to −94.3)−2.5 ± 7.7(−4.4 to −0.6).012
        SD of SVC (HU)10.2 ± 4.5(9.1–11.3)13.7 ± 4.9(12.5–14.9)−3.5 ± 2.8(−4.2 to −2.8)<.001
        SD of PM (HU)8.5 ± 2.4(7.9–9.1)10.9 ± 2.9(10.2–11.6)−2.4 ± 3.0(−3.2 to −1.7)<.001
        SD of air (BN) (HU)32.1 ± 32.5(23.9–40.2)33.5 ± 30.5(25.9–41.1)−1.4 ± 23(−7.1–4.2).61
        SNR of PM6.9 ± 8.1(4.9–9.0)3.9 ± 3.4(3.0–4.7)3.1 ± 6.4(1.5–4.7)<.001
        CNR of SVC and PM4.9 ± 2.0(4.4–5.4)3.7 ± 1.6(3.3–4.1)1.2 ± 1.3(0.9–1.5)<.001
    • Note:—IJV indicates internal jugular vein.

    • ↵a Paired t test.

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    Table 3:

    Qualitative assessment of image quality, based on average ratings of 2 readers (N = 64 subjects)

    MBIRASiRDifference (MBIR-ASiR)
    Mean(95% CI)Mean(95% CI)Mean(95% CI)P Valuea
    Nasopharynx4.80 ± 0.26(4.74–4.87)4.16 ± 0.31(4.08–4.23)0.65 ± 0.30(0.57–0.72)<.001
    Oropharynx3.74 ± 0.60(3.59–3.89)3.08 ± 0.64(2.92–3.24)0.66 ± 0.37(0.56–0.75)<.001
    Vocal cord3.73 ± 0.53(3.59–3.86)4.02 ± 0.37(3.92–4.11)−0.29 ± 0.53(−0.42 to −0.16)<.001
    SC junction3.41 ± 0.48(3.29–3.53)3.75 ± 0.25(3.69–3.82)−0.34 ± 0.52(−0.47 to −0.21)<.001
    Overall IQ3.85 ± 0.32(3.77–3.93)3.69 ± 0.28(3.62–3.76)0.17 ± 0.31(0.09–0.24)<.001
    • Note:—SC indicates sternoclavicular; IQ, image quality.

    • ↵a Wilcoxon signed ranked test.

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American Journal of Neuroradiology: 36 (2)
American Journal of Neuroradiology
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S. Gaddikeri, J.B. Andre, J. Benjert, D.S. Hippe, Y. Anzai
Impact of Model-Based Iterative Reconstruction on Image Quality of Contrast-Enhanced Neck CT
American Journal of Neuroradiology Feb 2015, 36 (2) 391-396; DOI: 10.3174/ajnr.A4123

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Impact of Model-Based Iterative Reconstruction on Image Quality of Contrast-Enhanced Neck CT
S. Gaddikeri, J.B. Andre, J. Benjert, D.S. Hippe, Y. Anzai
American Journal of Neuroradiology Feb 2015, 36 (2) 391-396; DOI: 10.3174/ajnr.A4123
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