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Channelized hotelling observer-based low-contrast detectability on the ACR CT accreditation phantom: Part II.
Mingdong Fan1, Zhongxing Zhou1, Cynthia McCollough1
1Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Channelized Hotelling observer (CHO) provides repeatable low-contrast detectability measurements for CT quality control. This method is practical for routine use, even with advanced imaging techniques.
Area of Science:
- Medical Imaging Physics
- Radiology
- Image Analysis
Background:
- Routine CT quality control lacks objective, quantitative evaluation for low-contrast detectability correlating with human performance.
- Channelized Hotelling observer (CHO) is a promising tool but previously considered impractical due to high scan repetition requirements.
- Previous work optimized CHO for the ACR CT phantom, enabling accurate detectability index (d') measurement with only 1-3 repeat scans.
Purpose of the Study:
- To validate the repeatability of a CHO-based low-contrast evaluation method.
- To assess the method's performance across four different CT scanner models.
- To utilize the American College of Radiology (ACR) CT accreditation phantom for standardization.
Main Methods:
- Repeatability testing on four CT scanners (Siemens Force/Alpha, Canon Prism/Prime SP).
- Acquisition of 10 phantom repositionings, with 3 scans per repositioning at 24, 12, and 6 mGy.
- Application of CHO to assess low-contrast object detectability (4-6 mm) and evaluation of repeatability using P<15%.
Main Results:
- CHO measurements demonstrated high repeatability (P<15% of 98.8%-99.9%) at 12 mGy with iterative reconstruction (IR) on all tested scanners.
- Repeatability remained high across different dose levels and object sizes on individual scanners (P<15% ranging from 91.5% to 99.998%).
- High repeatability was also observed for deep learning reconstructions and photon-counting-detector (PCD)-CT modes (P<15% > 96.5%).
Conclusions:
- CHO offers highly repeatable measurements for low-contrast detectability on the ACR phantom, exceeding 95% probability within ±15% tolerance.
- Repeatability is maintained with advanced techniques like deep learning reconstruction and PCD-CT.
- The study confirms the feasibility of practical CHO implementation for routine CT quality control and performance evaluation.
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