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Comparative Study
. 2018 Dec;28(12):5060-5068.
doi: 10.1007/s00330-018-5491-2. Epub 2018 May 29.

Subjective and objective comparisons of image quality between ultra-high-resolution CT and conventional area detector CT in phantoms and cadaveric human lungs

Affiliations
Comparative Study

Subjective and objective comparisons of image quality between ultra-high-resolution CT and conventional area detector CT in phantoms and cadaveric human lungs

Masahiro Yanagawa et al. Eur Radiol. 2018 Dec.

Abstract

Objectives: To compare the image quality of the lungs between ultra-high-resolution CT (U-HRCT) and conventional area detector CT (AD-CT) images.

Methods: Image data of slit phantoms (0.35, 0.30, and 0.15 mm) and 11 cadaveric human lungs were acquired by both U-HRCT and AD-CT devices. U-HRCT images were obtained with three acquisition modes: normal mode (U-HRCTN: 896 channels, 0.5 mm × 80 rows; 512 matrix), super-high-resolution mode (U-HRCTSHR: 1792 channels, 0.25 mm × 160 rows; 1024 matrix), and volume mode (U-HRCTSHR-VOL: non-helical acquisition with U-HRCTSHR). AD-CT images were obtained with the same conditions as U-HRCTN. Three independent observers scored normal anatomical structures (vessels and bronchi), abnormal CT findings (faint nodules, solid nodules, ground-glass opacity, consolidation, emphysema, interlobular septal thickening, intralobular reticular opacities, bronchovascular bundle thickening, bronchiectasis, and honeycombing), noise, artifacts, and overall image quality on a 3-point scale (1 = worst, 2 = equal, 3 = best) compared with U-HRCTN. Noise values were calculated quantitatively.

Results: U-HRCT could depict a 0.15-mm slit. Both U-HRCTSHR and U-HRCTSHR-VOL significantly improved visualization of normal anatomical structures and abnormal CT findings, except for intralobular reticular opacities and reduced artifacts, compared with AD-CT (p < 0.014). Visually, U-HRCTSHR-VOL has less noise than U-HRCTSHR and AD-CT (p < 0.00001). Quantitative noise values were significantly higher in the following order: U-HRCTSHR (mean, 30.41), U-HRCTSHR-VOL (26.84), AD-CT (16.03), and U-HRCTN (15.14) (p < 0.0001). U-HRCTSHR and U-HRCTSHR-VOL resulted in significantly higher overall image quality than AD-CT and were almost equal to U-HRCTN (p < 0.0001).

Conclusions: Both U-HRCTSHR and U-HRCTSHR-VOL can provide higher image quality than AD-CT, while U-HRCTSHR-VOL was less noisy than U-HRCTSHR.

Key points: • Ultra-high-resolution CT (U-HRCT) can improve spatial resolution. • U-HRCT can reduce streak and dark band artifacts. • U-HRCT can provide higher image quality than conventional area detector CT. • In U-HRCT, the volume mode is less noisy than the super-high-resolution mode. • U-HRCT may provide more detailed information about the lung anatomy and pathology.

Keywords: Artifacts; Diagnostic imaging; Image enhancement; Lung diseases; Multidetector computed tomography.

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Conflict of interest statement

Guarantor

The scientific guarantor of this publication is Noriyuki Tomiyama.

Conflict of interest

Noriyuki Tomiyama received a research grant from Canon Medical Systems Corp., formerly Toshiba Medical Systems. This work was technically supported by Canon Medical Systems Corp.

Masahiro Yanagawa, Akinori Hata, Osamu Honda, Noriko Kikuchi, and Tomo Miyata have no conflict of interest related to this study.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was waived by the Institutional Review Board.

Ethical approval

Institutional Review Board approval was obtained.

Study subjects or cohorts overlap

Some study subjects or cohorts were previously reported in Radiology 2010; 255:944-954 because cadaveric lungs stored in our institution were used in this study.

Methodology

• prospective

• experimental

• performed at one institution

Figures

Fig. 1
Fig. 1
Evaluation items on reference images. On each reference image (U-HRCTN), each visual evaluation item to be scored is indicated using colored marks. This U-HRCTN image of diffuse alveolar damage shows six evaluation items: 1, bronchi; 2, vessels; 3, ground-glass opacity; 4-6, interlobular septal thickening. Streak (arrow) and dark band artifacts (arrowhead) can also be seen. U-HRCTN: ultra-high-resolution CT with normal mode
Fig. 2
Fig. 2
Slit phantom images. Entire picture and layout of the phantom and slit phantoms of stainless steel are shown (a). There are four installation sites of slit phantoms. Four stainless steel slit phantoms can be inserted into one installation site at a time (i.e., maximum 16 slit phantoms). In the present study, 0.35-, 0.30-, and 0.15-mm slits were used. AD-CT image with a 20-mm field of view (b, c, and d) and U-HRCTSHR image with a 20-mm field of view (e). The 0.35-mm slit can be seen in the AD-CT image (b) but not clearly with the 0.30-mm slit (c). The 0.15-mm slit cannot be seen in the AD-CT image (d). However, the 0.15-mm slit can be seen in the U-HRCTSHR image (e). AD-CT: area detector CT. U-HRCTSHR: ultra-high-resolution CT with super-high-resolution mode
Fig. 3
Fig. 3
CT images of a cadaveric lung with diffuse panbronchiolitis. Whole and zoomed CT images of AD-CT (a, b, and c), U-HRCTSHR (d, e, and f), and U-HRCTSHR-VOL (g, h, and i). Tiny (2-mm-diameter) nodules show ill-defined margins and unclear internal structure (b). Dark band artifacts (arrowheads) can be seen (c). Tiny nodules show well-defined margins and clear internal structure (air bronchiologram) (e and h). There are almost no dark band artifacts (f and i). Both U-HRCTSHR (d) and U-HRCTSHR-VOL (g) produced significantly better overall image quality than AD-CT (a). AD-CT: area detector CT. U-HRCTSHR: ultra-high-resolution CT with super-high-resolution mode U-HRCTSHR-VOL: ultra-high-resolution CT with volume mode
Fig. 4
Fig. 4
CT images of a cadaveric lung with pulmonary hemorrhage. AD-CT (area detector CT) image of a cadaveric lung with pulmonary hemorrhage (a). Zoomed CT images corresponding to a dashed rectangle in (a) are shown (b, c, and d). Intralobular reticular opacities can be detected more easily on AD-CT (b) than on U-HRCTSHR (c) and U-HRCTSHR-VOL (d). On the other hand, normal anatomical structures such as bronchi and vessels (arrow) can be seen more clearly on U-HRCTSHR (c) and U-HRCTSHR-VOL (d) than on AD-CT (b). U-HRCTSHR (c) and U-HRCTSHR-VOL (d) seem to also show normal anatomical structures such as small bronchi and vessels as low attenuation areas. While dark band artifacts (arrowheads) can be seen in (b), there are almost no dark band artifacts in (c and d).

References

    1. Hounsfield GN. Computerized transverse axial scanning (tomography). 1. Description of system. Br J Radiol. 1973;46:1016–1022. doi: 10.1259/0007-1285-46-552-1016. - DOI - PubMed
    1. Hu H. Multi-slice helical CT: scan and reconstruction. Med Phys. 1999;26:5–18. doi: 10.1118/1.598470. - DOI - PubMed
    1. Hurlock GS, Higashino H, Mochizuki T. History of cardiac computed tomography: single to 320-detector row multislice computed tomography. Int J Cardiovascular Imaging. 2009;25:31–42. doi: 10.1007/s10554-008-9408-z. - DOI - PubMed
    1. Choi SI, George RT, Schuleri KH, et al. Recent developments in wide-detector cardiac computed tomography. Int J Cardiovascular Imaging. 2009;25:23–29. doi: 10.1007/s10554-009-9443-4. - DOI - PubMed
    1. Yanagawa M, Tomiyama N, Honda O, et al. Multidetector CT of the lung: image quality with garnet-based detectors. Radiology. 2010;255:944–954. doi: 10.1148/radiol.10091010. - DOI - PubMed

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