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Results for "Xinhua Li": 9 found

A Five-Year Retrospective Analysis of Dose Reduction for the Top 10 Adult CT Protocols

Authors: Emi Ai Eastman, Christina Lee, Xinhua Li, Yifang (Jimmy) Zhou

Affiliation: Cedars-Sinai Medical Center

Abstract Preview: Purpose:
This study aimed to retrospectively evaluate dose reduction efforts in past five years using acquisition-level data and to compare the results with ACR achievable dose (AD) and dose refere...

Achieving Consistent Calcium Score in Lung Cancer Screening: Influence of Cardiac Phases

Authors: Emi Ai Eastman, Chao Guo, Christina Lee, Xinhua Li, Alexander W. Scott, Yifang (Jimmy) Zhou

Affiliation: Cedars-Sinai Medical Center

Abstract Preview: Purpose:
Smoking is one of the risk factors for coronary artery disease. It is desirable to estimate the coronary artery calcification (CAC), a key biomarker for atherosclerosis and cardiovascular ...

Assessing Low Iodine Concentrations in Liver Lesions with Dual Energy CT: Impact of Beam Choices

Authors: Xinhua Li, Vu Nguyen, Yifang (Jimmy) Zhou

Affiliation: Cedars-Sinai Medical Center

Abstract Preview: Purpose: Assessing iodine concentration in liver lesions is essential for evaluating contrast enhancement in multi-phase liver CT and for accurate disease diagnosis. This study aims to evaluate the as...

Contrast-Dependent Loss of Edge Sharpness in Low-Contrast Targets with Increasing Iterative Reconstruction Strength

Authors: Emi Ai Eastman, Christina Lee, Xinhua Li, Alexander W. Scott, Yifang (Jimmy) Zhou

Affiliation: Cedars-Sinai Medical Center

Abstract Preview: Purpose: Iterative reconstruction (IR) methods are valuable for reducing dose in modern CT; however, IR methods have the effect of reducing spatial resolution and hence the lesion edge sharpness. Furt...

Cross-Calibration and Comparison of CT Number to Electron Density Using Two Calibration Phantoms

Authors: Afrouz Ataei, Xinhui Duan, Andrew R. Godley, Mi-Ae Park, Mahbubur Rahman, Liqiang Ren, Chenyang Shen, Gary Xu

Affiliation: Department of Radiology, UT Southwestern Medical Center, UT Southwestern Medical Center, Rush University, Imaging Services, UT Southwestern Medical Center

Abstract Preview: Purpose:
Electron density (ED) phantoms are crucial for calibrating CT number (HU) to relative ED in treatment planning. This study evaluates the differences in HU-to-ED calibrations between two co...

Determine Noise Weighting Factor in Photon-Counting CT Via Deep Learning for Personalized Noise Reduction

Authors: Xinhui Duan, Roderick W. McColl, Mi-Ae Park, Liqiang Ren, Gary Xu, Kuan Zhang, Yue Zhang

Affiliation: UT Southwestern Medical Center, Department of Radiology, UT Southwestern Medical Center, Imaging Services, UT Southwestern Medical Center

Abstract Preview: Purpose:
Image-based deep-learning noise-reduction techniques have been developed for photon-counting CT (PCCT) to improve image quality with reduced radiation dose. The denoising strength is typic...

Impact of Patient Size on the Choices of Dual and Single Energy CT for Accurate Liver Fat Volume Fraction Quantification

Authors: Xinhua Li, Jie Zhang, Yifang (Jimmy) Zhou

Affiliation: University of Kentucky, Cedars-Sinai Medical Center

Abstract Preview: Purpose: Fat volume fraction (FVF) is an important biomarker for non-alcoholic fatty liver disease. CT can be a good modality for FVF assessment if the accuracy is adequate. We aimed to study the impa...

Matching CT Numbers between a Photon-Counting CT and an Energy-Integrating Detector CT: A Phantom Study

Authors: Afrouz Ataei, Xinhui Duan, Mi-Ae Park, Liqiang Ren

Affiliation: Department of Radiology, UT Southwestern Medical Center, UT Southwestern Medical Center, Rush University

Abstract Preview: Purpose:
Photon-counting CT (PCCT) has become commercially available recently, offering significant potential to enhance patient care. However, it also introduces unique challenges. One such challe...

Photon-Counting CT Versus Dual Energy CT for Liver Fat Volume Fraction Assessment

Authors: Chao Guo, Xinhua Li, Michael F. McNitt-Gray, Di Zhang, Yifang (Jimmy) Zhou

Affiliation: UCLA, David Geffen School of Medicine at UCLA, Cedars-Sinai Medical Center

Abstract Preview: Purpose: The objective was to quantify the liver fat volume fraction (FVF) with virtual monochromatic imaging (VMI) using photon-counting CT (PCCT) and dual energy CT (DECT).
Methods: A custom desi...