Author profile
Imaging Services, UT Southwestern Medical Center
Photon-counting CT (PCCT) denoising seeks to approximate high-dose image quality from lower-dose acquisitions. A key challenge for patient-specific denoising with precise control of denoising strength is the lack of an available ground-truth “target” image wh...
Ring artifacts were observed on our photon-counting CT (PCCT) daily quality control images, with 40 keV virtual monoenergetic images (VMIs) exhibiting the most pronounced artifacts. Because these artifacts may reflect degraded system stability and detector pe...
To evaluate a commercial deep learning denoising algorithm (ClariCT.AI) through quantitative phantom measurements and clinical image assessment.
To evaluate the performance of a commercial deep-learning denoising algorithm (ClariCT.AI) for noise reduction and contrast-to-noise ratio (CNR) improvement in abdominal CT images with small hepatic cysts and lesions.
Photon-counting CT (PCCT) denoising requires paired images with different noise levels for supervised training, but acquiring such data is rarely feasible due to increased radiation exposure and registration challenges. As a result, low-dose–like data are gen...