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Results for "Siyong Kim": 6 found

A Window-Level Based Approach for Generating Missing Tissue in CT Scans Using a Transformer-Gan Model

Authors: Mojtaba Behzadipour, Siyong Kim, Mitchell Polizzi, Richard R. Wargo, Lulin Yuan

Affiliation: VCU Health - Department of Radiology, Virginia Commonwealth University

Abstract Preview: Purpose:
The purpose of this study is to develop a method for generating missing tissue in CT scans of patients with large body sizes, where the field of view (FOV) of the scanner fails to capture ...

Characterization and Validation of Cerenkov Radiation Extraction Methods from a Plastic Scintillation Detector in 0.35T MR-Linac Environments

Authors: Mateb Ali Alghamwa, Haya Aljuaid, Siyong Kim, Tianjun Ma, William Song

Affiliation: Virginia Commonwealth University

Abstract Preview: Purpose: The integration of Plastic Scintillation Detectors (PSDs) into 0.35T MR-Linac systems represents a significant advancement in radiotherapy, offering substantial benefits due to their tissue-e...

Establishing a Conventional Linac-Based Electron Flash Beam

Authors: Christopher Bartee, Justin Riley DeFrancisco, Marcos Feijoo, Siyong Kim, Tianjun Ma

Affiliation: Blue Physics LLC, Virginia Commonwealth University

Abstract Preview: Purpose: Irradiation with FLASH has been shown to decrease normal tissue toxicity while maintaining similar tumor control. To advance FLASH into the clinic, more preclinical investigations are first n...

Reliable Markerless Lung Tumor Tracking with Built-in Patient-Specific Quality Assurance

Authors: Weixing Cai, Laura I. Cervino, Qiyong Fan, Yabo Fu, Tianfang Li, Xiang Li, Jean M. Moran, Hai Pham, Pengpeng Zhang

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: AAPM Task Group Report 273 emphasizes the importance of rigorous validation to ensure the generalizability and robustness of machine learning-based clinical tools before their implementation ...

Two's Company, Three's a Crowd? a Bayesian Approach to Optimizing the Number of Measurement Readings in Radiation Therapy QA

Authors: Siyong Kim, Ava Paek, Joseph B. Schulz, James J. Sohn, Eric D. Stolen, Ethan D. Stolen

Affiliation: Department of Radiation & Cellular Oncology, University of Chicago, University of Central Florida, Virginia Commonwealth University, Department of Radiation and Cellular Oncology, University of Chicago, Department of Radiation Oncology, Stanford University School of Medicine

Abstract Preview: Purpose: The American Association of Physicists in Medicine Task Group 142 (AAPM TG-142) guidelines recommend three measurements during monthly quality assurance to keep results within two standard de...

Using Machine Learning to Predict Esophagitis Risk in Lung Cancer Radiotherapy Based on Clinical and Dosimetric Factors

Authors: Ibtisam Almajnooni, Siyong Kim, Nathaniel Miller, Elisabeth Weiss, Lulin Yuan

Affiliation: Virginia Commonwealth University

Abstract Preview: Purpose: Radiation-induced esophagitis (RE) is a common concern in lung cancer IMRT. Recent studies have indicated that the risk of radiation side effects varies greatly with patients’ baseline clinic...