Ultra-high-resolution CT urography: Importance of matrix size and reconstruction technique on image quality

Eur J Radiol. 2020 Sep:130:109148. doi: 10.1016/j.ejrad.2020.109148. Epub 2020 Jun 27.

Abstract

Purpose: To evaluate the image quality of CT urography (CTU) obtained with ultra-high-resolution CT (U-HRCT) reconstructed with hybrid iterative reconstruction (IR) and model-based IR algorithms.

Method: Forty-eight patients who underwent CTU using the U-HRCT system were enrolled in this retrospective study. Excretory phase images were reconstructed with three protocols: Protocol A: 1024-matrix, 0.25 mm-thickness, and model-based IR; Protocol B: 1024-matrix, 0.25 mm-thickness, and hybrid IR; Protocol C: 512-matrix, 0.5 mm-thickness, and model-based IR. Objective image noise and contrast-to-noise ratio (CNR) of the renal pelvis were compared among the protocols. Three-dimensional maximum intensity projection CTU images were generated from each image data set, and image quality was evaluated by two radiologists.

Results: Protocol C yielded the lowest objective image noise and highest CNR, whereas Protocol A had highest image noise and lowest CNR (P < 0.01). Regarding the detailed delineation of urinary tract structures on the images, the mean visual score was significantly higher for Protocol A than for Protocols B and C (P < 0.001), and the mean score for subjective image noise was significantly lower for Protocol A than for Protocols B and C (P < 0.001).

Conclusions: CTU with a 1024-matrix and model-based IR depicted the structures of the urinary system in the most detail.

Keywords: CT urography; High-resolution computed tomography; Iterative reconstruction; Urinary tract.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Algorithms
  • Female
  • Humans
  • Male
  • Middle Aged
  • Radiation Dosage
  • Radiographic Image Interpretation, Computer-Assisted / methods*
  • Reproducibility of Results
  • Retrospective Studies
  • Tomography, X-Ray Computed / methods*
  • Urinary Tract / diagnostic imaging
  • Urography / methods*
  • Urologic Diseases / diagnostic imaging*