Prototype Ultrahigh-Resolution Computed Tomography for Chest Imaging: Initial Human Experience

  • Sujata M. Shanbhag
  • , John L. Schuzer
  • , Chloe Steveson
  • , Shirley Rollison
  • , Kathie C. Bronson
  • , Michael S. Stagliano
  • , Patrik Rogalla
  • , Alain Blum
  • , Mathias Prokop
  • , Marcus Y. Chen*
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)
52 Downloads (Pure)

Abstract

Objective: The objective of this study was to evaluate a prototype, ultrahigh-resolution computed tomography offering higher reconstruction matrix (1024 _ 1024) and spatial resolution (0.15 mm) for chest imaging.

Methods: Higher (1024) matrix reconstruction enabled by ultrahighresolution computed tomography scanner (128-detector rows; detector width, 0.25 mm; spatial resolution, 0.15 mm) was compared with conventional (512) reconstruction with image quality grading on a Likert scale (1, excellent; 5, nondiagnostic) for image noise, artifacts, contrast, small detail, lesion conspicuity, image sharpness, and diagnostic confidence. Image noise and signal-to-noise ratio were quantified.

Results: Diagnostic image quality was achieved for all scans on 101 patients. The 1024 reconstruction demonstrated increased image noise (20.2 ± 4.0 vs 17.2 ± 3.8, P < 0.001) and a worse noise rating (1.98 ± 0.63 vs 1.75 ± 0.61, P < 0.001) but performed significantly better than conventional 512 matrix with fewer artifacts (1.37 ± 0.43 vs 1.50 ± 0.48, P < 0.001), better contrast (1.50 ± 0.56 vs 1.62 ± 0.57, P < 0.001), small detail detection (1.06 ± 0.19 vs 2.02 ± 0.22, P < 0.001), lesion conspicuity (1.08 ± 0.23 vs 2.02 ± 0.24, P < 0.001), sharpness (1.09 ± 0.24 vs 2.02 ± 0.28, P < 0.001), and overall diagnostic confidence (1.09 ± 0.25 vs 1.18 ± 0.34, P < 0.001).

Conclusions: Ultrahigh-resolution computed tomography enabled a higher reconstruction matrix and improved image quality compared with conventional matrix reconstruction, with a minor increase in noise.

Original languageEnglish
Pages (from-to)805-810
Number of pages6
JournalJournal of Computer Assisted Tomography
Volume43
Issue number5
DOIs
Publication statusPublished - 1-Sept-2019
Externally publishedYes

Keywords

  • humans
  • image quality
  • tomography
  • x-ray computed/methods

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