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Ultra-high-resolution CT urography: Importance of matrix size and reconstruction technique on image quality
- Source :
- European Journal of Radiology. 130:109148
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- 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.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.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).CTU with a 1024-matrix and model-based IR depicted the structures of the urinary system in the most detail.
- Subjects :
- Adult
Male
Urologic Diseases
Image quality
Hybrid iterative reconstruction
Ct urography
Iterative reconstruction
Radiation Dosage
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Image noise
Humans
Medicine
Radiology, Nuclear Medicine and imaging
Urinary Tract
Aged
Retrospective Studies
Aged, 80 and over
business.industry
Reproducibility of Results
Urography
General Medicine
Middle Aged
Ultra high resolution
Data set
030220 oncology & carcinogenesis
Maximum intensity projection
Radiographic Image Interpretation, Computer-Assisted
Female
Tomography, X-Ray Computed
Nuclear medicine
business
Algorithms
Subjects
Details
- ISSN :
- 0720048X
- Volume :
- 130
- Database :
- OpenAIRE
- Journal :
- European Journal of Radiology
- Accession number :
- edsair.doi.dedup.....c6d2c51dea24464c7a3c006bf92faed1
- Full Text :
- https://doi.org/10.1016/j.ejrad.2020.109148