Author profile
Department of Radiology, 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...
CT reference levels are mandated by Texas state regulations, and Medical Physics is responsible for reviewing CT studies that exceed these levels and determining the cause. The current clinical reference level for body CT, 60mGy, is applied uniformly across a...
Dual‑source photon‑counting CT (DS‑PCCT) enables fast FLASH acquisition combined with spectral imaging—capabilities not available in single‑source PCCT (SS‑PCCT). This study evaluates whether DS‑PCCT maintains quantitative accuracy by comparing CT number and...
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...
Diagnostic and Interventional Radiology Physics