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Results for "phase binning": 5 found

4D CBCT Dynamic Images Recovery Using a 4D Neural Network

Authors: Ziheng Deng, Yao Hao, Runping Hou, Deshan Yang, Jun Zhao, Yufu Zhou

Affiliation: Department of Radiation Oncology, Duke University, School of Biomedical Engineering, Shanghai Jiao Tong University, Washington University School of Medicine, Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine

Abstract Preview: Purpose: 4D CBCT has been developed to provide dynamic images for image-guided radiation therapy. However, as projection data are sorted into sparse and clustered phase-specific bins, 4D CBCT images a...

4D-CT Based on Millimeter Wave (mmWave) Respiratory and Cardiac Phase Tracking

Authors: Yao Hao, Pamela Samson, Ziyu Shu, David Zhang, Tiezhi Zhang, Jingxuan Zhu

Affiliation: Stony Brook University, Washington University in St. Louis, Washington University School of Medicine, WashU Medicine

Abstract Preview: Purpose: The aim of this study is to validate the feasibility of using millimeter wave (mmWave) radar for phase binning 4D-CT by concurrent, non-contact phase tracking of respiratory and cardiac wavef...

Acti-Quant Phase One and Phase Two Winner - Winning Methodologies

Authors: Lucas Polson

Affiliation: University of British Columbia

Abstract Preview: N/A...

Is Simplicity Even Better: Deep Learning Algorithms for Breath Motion Phase Prediction in Motion Management

Authors: Amanda J. Deisher, Andrew YK Foong, Witold Matysiak, Jing Qian, Xueyan Tang, Erik J. Tryggestad, Mi Zhou

Affiliation: Mayo Clinic

Abstract Preview: Purpose: Phase gating is commonly employed to mitigate the impact of tumor motion in radiotherapy. Due to the machine-specific time delay between triggering and radiation delivery, the triggering sign...

Robustness of Deep Learning-Based Motion Compensated 4D-CBCT Reconstruction to out-of-Distribution Data

Authors: Geoffrey D. Hugo, Eric Laugeman, Thomas R. Mazur, Pamela Samson, Kim A. Selting, Zhehao Zhang

Affiliation: University of Illinois, Washington University in St. Louis School of Medicine, WashU Medicine

Abstract Preview: Purpose: To investigate the robustness of a deep learning (DL)-based 4D-CBCT motion-compensated (MoCo) reconstruction method to out-of-distribution data.
Methods: Our developed 4D-CBCT reconstructi...