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QCT: A measuring tool dedicated to the estimation of image parameters for quality assurance/quality control programs of ct scanners

Khodajou Chokami, H ; Sharif University of Technology | 2020

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  1. Type of Document: Article
  2. DOI: 10.1109/MeMeA49120.2020.9137199
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2020
  4. Abstract:
  5. Computed Tomography (CT) is one of the most widely used screening and diagnostic tools in medical imaging centers. Considering IAEA HUMAN HEALTH SERIES No. 19 and the American College of Radiology (ACR) Accreditation Program, quality assurance (QA) and quality control (QC) are mandatory programs to periodically monitor the system condition to promote the effective utilization of ionization radiation for a diagnostic outcome through obtaining and retaining appropriate image quality and reduction of patient dose. Computational phantoms (CPs) are the key tool to monitor system condition. The commercial QC phantoms are expensive products and are not flexible enough for user demands. In this paper, we designed and fabricated a new CP along with a graphical user-friendly interface program integrally called 'QCT' enabling to measure IAEA/ACR-based standard image parameters and beyond metrics including CT calibration curve, CT number of multiple objects, contrast-to-noise ratio, the edge spread function, the line spread function, the modulation transfer function, spatial resolution, noise power spectrum, image noise, and uniformity. The experimental assessment of QCT was tested on a GE LightSpeed VCT multi-detector CT scanner available in our clinic. In addition, we reported the details of fabrication process of our QC phantom, enabling readers to create flexible and affordable QC phantoms. © 2020 IEEE
  6. Keywords:
  7. Computed Tomography ; CT number ; Limiting spatial resolution ; Modulation transfer function ; Noise power spectrum ; Computerized tomography ; Diagnosis ; Display devices ; Medical imaging ; Monitoring ; Phantoms ; Program diagnostics ; Quality assurance ; Scanning ; User interfaces ; Accreditation programs ; American college of radiologies ; Computational phantom ; Contrast to noise ratio ; Experimental assessment ; Line spread functions ; User friendly interface ; Quality control
  8. Source: 15th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2020, 1 June 2020 through 3 June 2020 ; July , 2020
  9. URL: https://ieeexplore.ieee.org/document/9137199