A methodology for image quality evaluation of advanced CT systems. Issue 3 (20th February 2013)

• Record Type: Journal Article
• Authors: Wilson, Joshua M.; Christianson, Olav I.; Richard, Samuel; Samei, Ehsan
• Is Part Of: Medical physics. Volume 40:Issue 3(2013)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2013-02-20
• Subjects: Computed tomography -- Numerical approximation and analysis -- Reconstruction; computerised tomography -- image denoising -- image reconstruction -- image resolution -- image texture -- iterative methods -- medical image processing -- optical transfer function -- phantoms -- polymers; tube current modulation -- iterative reconstruction -- phantoms -- image analysis -- CT; Computerised tomographs -- Digital computing or data processing equipment or methods, specially adapted for specific applications -- Image data processing or generation, in general -- Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image -- Analysis of texture; Medical image noise -- Medical imaging -- Computed tomography -- Medical image quality -- Medical image reconstruction -- Medical image contrast -- Image analysis -- Image reconstruction -- Computer software -- Germanium; Medical physics -- Periodicals; Medical physics; Geneeskunde; Natuurkunde; Toepassingen; Biophysics; Periodicals; Periodicals; Electronic journals; 610.153
• DOI: 10.1118/1.4791645
• Languages: English
• ISSNs: 0094-2405

Abstract

Abstract : Purpose: : This work involved the development of a phantom‐based method to quantify the performance of tube current modulation and iterative reconstruction in modern computed tomography (CT) systems. The quantification included resolution, HU accuracy, noise, and noise texture accounting for the impact of contrast, prescribed dose, reconstruction algorithm, and body size. Methods: : A 42‐cm‐long, 22.5‐kg polyethylene phantom was designed to model four body sizes. Each size was represented by a uniform section, for the measurement of the noise‐power spectrum (NPS), and a feature section containing various rods, for the measurement of HU and the task‐based modulation transfer function (TTF). The phantom was scanned on a clinical CT system (GE, 750HD) using a range of tube current modulation settings (NI levels) and reconstruction methods (FBP and ASIR30). An image quality analysis program was developed to process the phantom data to calculate the targeted image quality metrics as a function of contrast, prescribed dose, and body size. Results: : The phantom fabrication closely followed the design specifications. In terms of tube current modulation, the tube current and resulting image noise varied as a function of phantom size as expected based on the manufacturer specification: From the 16‐ to 37‐cm section, the HU contrast for each rod was inversely related to phantom size, and noise was relatively constant (<5% change). With iterative reconstruction, the TTF exhibited a contrast dependency with better performance for higher contrast objects. At low noise levels, TTFs of iterative reconstruction were better than those of FBP, but at higher noise, that superiority was not maintained at all contrast levels. Relative to FBP, the NPS of iterative reconstruction exhibited an ∼30% decrease in magnitude and a 0.1 mm −1 shift in the peak frequency. Conclusions: : Phantom and image quality analysis software were created for assessing CT image quality over a range of contrasts, doses, and body sizes. The testing platform enabled robust NPS, TTF, HU, and pixel noise measurements as a function of body size capable of characterizing the performance of reconstruction algorithms and tube current modulation techniques.