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Results for "Yifei Xu": 12 found

A Single-View-Based Electroacoustic Tomography Imaging Using Deep Learning for Electroporation Monitoring

Authors: Yankun Lang, Lei Ren, Leshan Sun, Liangzhong Xiang, Yifei Xu, Jie Zhang

Affiliation: University of Maryland School of Medicine, University of California, Irvine

Abstract Preview: Purpose: To achieve the full-view image from a single-view sinogram using a two-stage deep learning model for electroacoustic-tomography (EAT), which is an emerging imaging technique with significant ...

BEST IN PHYSICS IMAGING: Cross-Contrast Diffusion: A Synergistic Approach for Simultaneous Multi-Contrast MRI Super-Resolution

Authors: Yifei Hao, Wenxuan Li, Xiang Li, Tao Peng, Yulu Wu, Fang-Fang Yin, Yue Yuan, Lei Zhang, Yaogong Zhang

Affiliation: Duke University, School of Future Science and Engineering, Soochow University, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: Diffusion-based deep-learning frameworks have been recently used in MRI resolution enhancement, or super-resolution. Multi-contrast MRI share common anatomical structures while holding comple...

Dynamic X-Ray Acoustic Computed Tomography (XACT)

Authors: Leshan Sun, Liangzhong Xiang, Yifei Xu, Yuchen Yan

Affiliation: University of California, Irvine

Abstract Preview: Purpose: X-ray Acoustic Computed Tomography (XACT) is a transformative innovation in medical imaging, overcoming the limitations of conventional X-ray techniques. It introduces new possibilities in cl...

Enhancing Dosimetric Conformity in Single-Energy Bragg Peak Flash Therapy Using Aperture-Based Techniqu

Authors: Chin-Cheng Chen, Chingyun Cheng, Longfei Diao, Benjamin Durkee, Minglei Kang, Haibo Lin, LeLe Liu, Yangguang Ma, Xuanqin Mou, YunTong Pei, Charles B. Simone, YuFei Wang, Xueqing Yan, Xingyi Zhao, Wang Zhengda

Affiliation: Peking University, St. Jude Children's Research Hospital, New York Proton Center, Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, School of Software Engineering, Xi’an Jiaotong University, School of information and communications engineering, Faculty of electronic and information engineering, Xi’an Jiaotong University, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: This study evaluates the effectiveness of apertures in improving lateral dose falloff in proton pencil beam scanning (PBS) single-energy Bragg peak (SEBP) FLASH radiotherapy (RT). The approac...

Enhancing Image Quality in Acoustic Imaging Using the Segment Anything Model (SAM)

Authors: Jadon Buller, Zhuoran Jiang, Yankun Lang, Lei Ren, Leshan Sun, Liangzhong Xiang, Yifei Xu

Affiliation: University of Maryland School of Medicine, University of California, Irvine, University of California, Stanford University

Abstract Preview: Purpose: Electroacoustic tomography (EAT) and Protoacoustic (PA) imaging are novel modalities for treatment verification of electroporation and proton therapy. However, the limited acquisition angle i...

Graph Neural Network with Long Short-Term Memory for CT-Based Macrotrabecular-Massive Hepatocellular Carcinoma Diagnosis

Authors: Enhui Chang, Yunfei Dong, Yifei Hao, Chengliang Jin, Shengsheng Lai, Yi Long, Mengni Wu, Yulu Wu, Ruimeng Yang, Zhenyu Yang, Yue Yuan, Lei Zhang, Wanli Zhang, Yaogong Zhang

Affiliation: Duke Kunshan University, Department of Radiology, The Second Affiliated Hospital, School of Medicine, South China University of Technology, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: Macrotrabecular-Massive Hepatocellular Carcinoma (MTM-HCC) is one type of liver cancer showed minimum image signature for accurate non-invasive diagnosis. This study aims to develop and evalu...

Nomogram Based on Interpretable Multiregional Radiomics of Cone-Beam Breast CT and Clinicopathologic Features for Predicting FISH Status in HER2 2+ Breast Cancer to Differentiate HER2-Low from -Positive: A Multi-Center Study

Authors: Keyi Bian, Marco Caballo, Wenxiu Guo, Haijie Li, Jiao Li, Aidi Liu, Yue Ma, Ioannis Sechopoulos, Yafei Wang, Yaopan Wu, Zhaoxiang Ye, Yuwei Zhang, Yueqiang Zhu, Daan van den Oever

Affiliation: Radboud University Medical Center, Tianjin Medical University Cancer Institute & Hospital, Sun Yat-Sen University Cancer Center

Abstract Preview: Purpose: To develop and validate a nomogram integrating intra- and peritumoral radiomics of contrast-enhanced cone-beam breast CT (CE-CBBCT) and clinicopathologic features for predicting fluorescence ...

Non-Contact Electroacoustic Imaging Monitoring Electroporation Therapy

Authors: Zhongping Chen, Yuchen Song, Leshan Sun, Liangzhong Xiang, Yifei Xu

Affiliation: University of California, Irvine, University of California Irvine

Abstract Preview: Purpose: Electroacoustic tomography (EAT) monitors the distribution of electrical energy in tissues by detecting acoustics signals induced by electrical pulses during irreversible electroporation (IRE...

Performance Evaluation of CT-Based Lung Tumor Classification Deep Learning Algorithms Under Centralized and Federated Learning Frameworks

Authors: Yifei Hao, Chengliang Jin, Wenxuan Li, Bing Luo, Tao Peng, Yulu Wu, Fang-Fang Yin, Yue Yuan, Lei Zhang, Ruojun Zhou

Affiliation: School of Future Science and Engineering, Soochow University, Electrical and Computer Engineering Graduate Program, Duke Kunshan University, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: Federated learning is a patient privacy-protecting technique that has recently been applied in the medical field. This study aims to evaluate the performance of several deep learning networks...

Physics-Informed Neural Network for In Vivo Dosimetry during Proton Therapy Using Protoacoustic Tomography

Authors: Kristina Bjegovic, Yong Chen, Gilberto Gonzalez, Yankun Lang, Lei Ren, Leshan Sun, Liangzhong Xiang, Yifei Xu

Affiliation: University of Maryland School of Medicine, University of California, Irvine, University of Oklahoma Health Sciences Center, University of Oklahoma Health Science Center

Abstract Preview: Purpose: Proton therapy is becoming an increasingly popular choice for cancer treatment due to its precision, reduced side effects, and effectiveness. While dosimetry is fundamental to the success of ...

Quantifying Respiratory Motion Effects in Lung Cancer Radiotherapy Using 4DCT Voxel Analysis

Authors: Chih-Chiang Chang, Chingyun Cheng, Ben Durkee, Minglei Kang, Elissa Khoudary, Yangguang Ma, Xuanqin Mou, YuFei Wang, Tengda Zhang, Wang Zhengda

Affiliation: Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, School of Software Engineering, Xi’an Jiaotong University, School of information and communications engineering, Faculty of electronic and information engineering, Xi’an Jiaotong University, Department of Medical Physics, Columbia University, University of Pennsylvania, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: This study presents a voxel-based analysis method based on deformable image registration to accurately quantify respiratory-induced motion and deformation of both targets and organs at risk (...

Region-Specific Structure-Function Coupling Alterations in Parkinson’s Disease: Insights from Multi-Modal MRI

Authors: Yifei Hao, Ting Huang, Wenxuan Li, Xiang Li, Manju Liu, Rong Liu, Tao Peng, Yulu Wu, Fang-Fang Yin, Lei Zhang, Yaogong Zhang, Jiangtao Zhu

Affiliation: Duke University, Department of Radiology, The Second Affiliated Hospital of Soochow University, School of Future Science and Engineering, Soochow University, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: This study investigates the alterations in structure-function coupling (SC-FC) networks in Parkinson’s disease (PD) patients, focusing on region-specific disruptions and compensatory mechanis...