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Author profile
Emi Ai Eastman, MS
Cedars-Sinai Medical Center
Contrast-Dependent Decrease In Task-Transfer Function Area with Strength of Iterative Reconstruction and Deep Learning In Low-Contrast Lesions
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...
Poster Program · Diagnostic and Interventional Radiology Physics
Leveraging Dose Tracking Software to Monitor CT Repeat Rates: A Multi-Protocol Analysis
To utilize data from a dose tracking software to retrospectively track repeat rates for frequently used CT exams
Poster Program · Diagnostic and Interventional Radiology Physics
Liver Lesion Volumetry Using Fully Automated Lesion Segmentation- Photon-Counting CT Versus Dual Energy CT
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).
Poster Program · Diagnostic and Interventional Radiology Physics
Optimizing Coronary CT Angiography: Impact of Tailored Protocols on Radiation Dose, Image Quality, and Patient Eligibility
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.
Poster Program · Diagnostic and Interventional Radiology Physics