Quantitation of clinical feedback on image quality differences between two CT scanner models.
The aim of this work was to quantitate differences in image quality between two GE CT scanner models - the LightSpeed VCT ("VCT") and Discovery HD750 ("HD") - based upon feedback from radiologists at our institution. First, 3 yrs of daily QC images of the manufacturer-provided QC phantom from 10 scanners - five of each model - were analyzed for both noise magnitude, measured as CT-number standard deviation, and noise power spectrum within the uniform water section. The same phantom was then scanned on four of each model and analyzed for low contrast detectability (LCD) using a built-in LCD tool at the scanner console. An anthropomorphic phantom was scanned using the same eight scanners. A slice within the abdomen section was chosen and three ROIs were placed in regions representing liver, stomach, and spleen. Both standard deviation of CT-number and LCD value was calculated for each image. Noise magnitude was 8.5% higher in HD scanners compared to VCT scanners. An associated increase in the magnitude of the noise power spectra were also found, but both peak and mean NPS frequency were not different between the two models. VCT scanners outperformed HD scanners with respect to LCD by an average of 13.1% across all scanners and phantoms. Our results agree with radiologist feedback, and necessitate a closer look at our body CT protocols among different scanner models at our institution.
Duke Scholars
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Related Subject Headings
- Tomography, X-Ray Computed
- Tomography Scanners, X-Ray Computed
- Signal-To-Noise Ratio
- Radiation Dosage
- Quality Assurance, Health Care
- Phantoms, Imaging
- Nuclear Medicine & Medical Imaging
- Image Processing, Computer-Assisted
- Humans
- Feedback
Citation
Published In
DOI
EISSN
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Tomography, X-Ray Computed
- Tomography Scanners, X-Ray Computed
- Signal-To-Noise Ratio
- Radiation Dosage
- Quality Assurance, Health Care
- Phantoms, Imaging
- Nuclear Medicine & Medical Imaging
- Image Processing, Computer-Assisted
- Humans
- Feedback