Assessment of Low-Contrast Detectability on ACR CT Phantom with Variations in Tube Voltage and Object Size Using 2-AFC Method

Siti Silfa Mislaeni, Choirul Anam, Jatmiko Endro Suseno, Ngurah Ayu Ketut Umiati, Ariij Naufal, Riska Amilia and Rahmat Riyadi

International Journal of Scientific Research in Science and Technology, 2025, vol. 12, issue 2, 1172-1180

Abstract: This study aims to assess low-contrast detectability (LCD) in the American College of Radiology (ACR) computed tomography (CT) phantom at various tube voltages and object sizes using the two-alternative forced choice (2-AFC) method. The experiment was conducted using the low-contrast module, which contains objects with contrast of 6 HU and with diameters of 2, 3, 4, 5, and 6 mm. The phantom was scanned using a Philips CT scanner at three tube voltage settings: 90 kV, 120 kV, and 140 kV. Two region of interests (ROIs) were created for both the object and background and displayed through the IndoQCT software, resulting in 300 randomly paired images (questions). These images were independently assessed by seven medical physicists with over two years of clinical experience to identify the presence of low-contrast objects. The IndoQCT software automatically calculated the Percent Correct (PC) for each respondent, and the LCD performance was analyzed based on these PC values. The results showed that larger object sizes corresponded with improved detection performance. The 90 kV setting yielded optimal detection for larger objects (i.e., 5 and 6 mm), while 120 kV was more effective for smaller objects (i.e., 2–4 mm). Conversely, 140 kV resulted in the lowest detection performance across all object sizes. These findings suggest that lower tube voltages can enhance LCD despite increased image noise. Additionally, the variability among observers was minimal, with a p-value >0,5 indicating no significant differences in their ability to assess LCD.

Keywords: Computed Tomography (CT); low-contrast detectability; 2-Alternatife Forced Choice (2-AFC); tube voltage; medical physicist (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v12:y2025:i2:id:772

DOI: 10.32628/IJSRST251222676

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