Yifang (Jimmy) Zhou, PhD

Although radiographic exposures are individually low dose, in 2016 there were 275 million in the U.S.; the broad population makes consistent dose and image quality important. A large institution faces significant challenges to achieving this: vast data collec...

Iterative and deep learning image reconstruction (IR and DLIR) are valuable for reducing dose in modern CT but have the effect of reducing lesion edge sharpness. If sharpness loss becomes contrast dependent at some threshold, the decrease in sharpness may exc...

Opportunistic coronary artery calcium (CAC) assessment from lung cancer screening (LCS) CT can broaden cardiovascular risk stratification, but cardiac motion and acquisition settings may impact the calcium score. This study quantifies the impact of helical pi...

To utilize data from a dose tracking software to retrospectively track repeat rates for frequently used CT exams

To study the accuracy and reproducibility of liver lesion volume measurements using fully automated lesion segmentation at virtual monochromatic imaging (VMI) with photon-counting and dual energy CT (PCCT and DECT).

To create user-friendly, size and heart condition-specific protocols to improve coronary CT angiography (CCTA) image quality, reduce dose, and expand eligibility to patients with contraindications due to heart activity.