Authors: Xiangli Cui, Man Hu, Wanli Huo, Da Yao, Jianguang Zhang, Yingying Zhang, Shanyang Zhao
Affiliation: Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, the Zhejiang-New Zealand Joint Vision-Based Intelligent Metrology Laboratory, College of Information Engineering, China Jiliang University, Departments of Radiation Oncology, Zibo Wanjie Cancer Hospital, Department of Oncology, Xiangya Hospital, Central South University, Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences
Abstract Preview: Purpose:
To study the fine-tuning strategy of pre-trained AI image generation model to adapt to the generation of small sample meningioma MRI images, explore its impact on observer performance, and...
Authors: Xiaolong Fu, Runping Hou, Md Tauhidul Islam, Lei Xing
Affiliation: Department of Radiation Oncology, Stanford University, Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine
Abstract Preview: Purpose: To introduce a novel schematic image representation of radiomics data, called OmicsMap, for high-performance deep radiomics analysis. OmicsMap transforms tabular radiomics data into an image ...
Authors: Md. Jobairul Islam
Affiliation: Department of Radiation Oncology, Labaid Cancer Hospital and Super Speciality Centre
Abstract Preview: Purpose: Electron radiotherapy is an effective treatment for superficial tumors but requires field-shaping devices like electron applicators, which are labor-intensive to produce. This study aimed to ...
Authors: Pradeep Bhetwal, Yingxuan Chen, Wookjin Choi, Michael Dichmann, Adam Dicker, Rupesh Ghimire, Yevgeniy Vinogradskiy, Maria Werner-Wasik
Affiliation: Thomas Jefferson University
Abstract Preview: Purpose: Radiomics has emerged as a powerful tool in medical research. However, the lack of standardized and reproducible pipelines limits its clinical adoption. This study developed a robust and scal...
Authors: Zihao Liu, Qiwei Wu, Yanfei Xiong, Yidong Yang, Ning Zhao
Affiliation: Department of Engineering and Applied Physics, School of Physical Sciences, University of Science and Technology of China, Department of Engineering and Applied Physics, University of Science and Technology of China, University of Science and Technology of China
Abstract Preview: Purpose: To develop an inverse planning framework that optimizes beam angles and intensities for small animal radiotherapy and to validate its accuracy and effectiveness.
Methods: The inverse plann...
Authors: Yaowen Cao, Yunwen Huang, Yidong Yang, Xiaogang Yuan, Ning Zhao, Cheng Zheng
Affiliation: Department of Life Sciences and Medicine, University of Science and Technology of China, Department of Engineering and Applied Physics, University of Science and Technology of China, University of Science and Technology of China
Abstract Preview: Purpose: MRI has better soft tissue contrast than cone beam CT which is commonly used in image guided radiotherapy. This study aims to develop a low-field MRI system for precision small animal radiati...
Authors: Ian J. Butterwick, Sumudu Katugampola, ChangSeon Kim, Evan G. Meekins, Zhengdong Zhang
Affiliation: Mount Sinai Beth Israel, Gesinger Medical Center, Geisinger Medical Center
Abstract Preview: Purpose: To evaluate the dosimetric impact of enhanced dynamic leaf gap (EDLG) modeling in Eclipse V18.0 on small-field dosimetry within VMAT plans.
Methods: Plans with small fields (1 cm x 1 cm to...
Authors: Cambridge L Bui-Nguyen, Alexander S. Nguyen, Liqiang (Lee) Tao
Affiliation: Varian AOS @Epic Care, UC Berkeley
Abstract Preview: Purpose: Dynamic Winston-Lutz (WL) testing provides a comprehensive framework for evaluating the accuracy of isocenter alignment. This study investigates the impact of dynamic beam modulation, such as...
Authors: Kenneth W. Gregg, Beatriz Guevara, Lauren E Henke, Rojano Kashani, Kyle O'Carroll, Gisele Castro Pereira, Christian Erik Petersen, Alex T. Price, Meiying Xing, Reine abou Zeidane
Affiliation: university hospital, University Hospitals Seidman Cancer Center
Abstract Preview: Purpose:
Experimental data have shown the inconsistent monitor unit and target coverage in Ethos 1.1. This can lead to inaccurate dose delivery, compromising patient safety and treatment outcomes. ...
Authors: Akbar Anvari, Carnell J. Hampton, Melanie R. Piantino, Kai Yang
Affiliation: Levine Cancer Institute, Atrium Health
Abstract Preview: Purpose: To evaluate aperture collimation on a C-shape gantry-mounted proton accelerator. Mevion S250i Hyper scanning machine implemented aperture collimation utilizing adaptive aperture (AA). The AA ...
Authors: Jennifer L. Dolan, Chengyin Li, Parag Parikh, Doris N. Rusu, Kundan S Thind
Affiliation: Henry Ford Health, Cedars-Sinai Medical Center
Abstract Preview: Purpose: The time and resource demands of online Adaptive Radiation Therapy (ART) can limit its widespread clinical adoption and potentially impact patient throughput. To address this, we developed a ...
Authors: Minbin Chen, Ke Lu, Kaizhong Shi, Chunhao Wang, Chuan Wu, Zhenyu Yang, Fang-Fang Yin, Jingtong Zhao
Affiliation: The First People's Hospital of Kunshan, Duke University, Medical Physics Graduate Program, Duke Kunshan University, Duke Kunshan University, Department of Radiation Oncology, Duke Kunshan University
Abstract Preview: Purpose: MRI-based automatic detection of brain metastases is often challenged by the small size and subtle nature of metastases. This study aimed to develop a novel deep learning-based brain metastas...
Authors: Kenneth A. Fetterly
Affiliation: Mayo Clinic
Abstract Preview: Purpose: Among the limitations of channelized Hotelling T2 type model observers (CHO) applied to medical imaging systems is that they reduce 2D image detail to a singular value and are only applicable...
Authors: Niels Bassler, Jonathan Bortfeldt, Francesco Evangelista, Giulio Lovatti, Jasper Nijkamp, Rasmus Nilsson, Munetaka Nitta, Katia Parodi, Marco Pinto, Per R. Poulsen, Brita Singers Sørensen, Peter Thirolf, Erik Traneus, Taiga Yamaya
Affiliation: RaySearch Laboratories AB, National Institutes for Quantum Science and Technology, Department of Medical Physics, Ludwig-Maximilians-Universität München (LMU Munich), Ludwig-Maximilians Universität, Danish Centre for Particle Therapy, Aarhus University Hospital, Department of Medical Physics, Ludwig-Maximilians-Universität (LMU) München, Department of Experimental Clinical Oncology, Aarhus University, Department of Oncology, Aarhus University Hospital
Abstract Preview: Purpose: Within the SIRMIO project (Small Animal Proton Irradiator for Research in Molecular Image-Guided Radiation Oncology), we aimed to perform the first in vivo proton beam treatment with a dedica...
Authors: Niels Bassler, Jonathan Bortfeldt, Davide Boscaini, Francesco Evangelista, Guyue Hu, Ze Huang, Margarita Kozak, Julie Lascaud, Giulio Lovatti, Eero Lönnqvist, Jasper Nijkamp, Munetaka Nitta, Prasannakumar Palaniappan, Katia Parodi, Marco Pinto, Per R. Poulsen, Marco Riboldi, Babak Sharifi, Brita Singers Sørensen, Peter Thirolf
Affiliation: Department of Medical Physics, Ludwig-Maximilians-Universität München (LMU Munich), Ludwig-Maximilians Universität, Danish Centre for Particle Therapy, Aarhus University Hospital, Department of Medical Physics, Ludwig-Maximilians-Universität (LMU) München, Department of Experimental Clinical Oncology, Aarhus University, Department of Oncology, Aarhus University Hospital
Abstract Preview: Purpose: To perform the first in vivo application of a novel small animal radiation research platform combining on-board image-guidance with multi-field intensity modulated spot scanning delivery [1] ...
Authors: Niels Bassler, Jonathan Bortfeldt, Carlos Granja, Guyue Hu, Margarita Kozak, Julie Lascaud, Kirsten Lauber, Grigory Liubchenko, Jasper Nijkamp, Cristina Oancea, Prasannakumar Palaniappan, Katia Parodi, Marco Pinto, Per R. Poulsen, Marco Riboldi, Brita Singers Sørensen, Matthias Würl
Affiliation: Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Department of Radiation Oncology, LMU University Hospital, LMU Munich, Department of Medical Physics, Ludwig-Maximilians-Universität München (LMU Munich), Danish Centre for Particle Therapy, Aarhus University Hospital, Department of Medical Physics, Ludwig-Maximilians-Universität (LMU) München, Department of Experimental Clinical Oncology, Aarhus University, Department of Oncology, Aarhus University Hospital, Advacam
Abstract Preview: Purpose: To apply in-vivo proton radiography (pRad) to aid image registration and treatment plan refinement for a novel precision image-guided small animal proton irradiation platform.
Methods:...
Authors: Michael Dohopolski, Jiaqi Liu, Hao Peng, Robert Timmerman, Zabi Wardak, Haozhao Zhang
Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center
Abstract Preview: Purpose:
This study introduces a gradient-based radiomics framework to enhance outcome prediction in Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR) for brain metastases...
Authors: Clifford Eskey, Scott Gordon-Wylie, Scott Gordon-Wylie, Dhrubo Jyoti, Daniel Reeves, John B. Weaver
Affiliation: Flow Aluminum, Dartmouth College, Fred Hutch Cancer Center, University of Washington, Dartmouth-Health
Abstract Preview: Purpose: Mechanical thrombectomy (MT) is the preferred treatment for ischemic stroke from large vessel occlusion. The thrombus or clot is extracted from the vessel via a catheter using a stent retriev...
Authors: Omar Awad, Alfredo Enrique Echeverria, Issam M. El Naqa, Daniel Allan Hamstra, Yiding Han, Ryan Lafratta, Abdallah Sherif Radwan Mohamed, Piyush Pathak, Zaid Ali Siddiqui, Baozhou Sun, Vincent Ugarte
Affiliation: H. Lee Moffitt Cancer Center, Harris Health, Baylor College of Medicine
Abstract Preview: Purpose:
Accurate detection and segmentation of brain metastases are critical for diagnosis, treatment planning, and follow-up imaging but are challenging due to labor-intensive manual assessments ...
Authors: Karyn A Goodman, Yang Lei, Tian Liu, Pretesh Patel, Jing Wang, Kaida Yang, Jiahan Zhang
Affiliation: Icahn School of Medicine at Mount Sinai, Department of Radiation Oncology and Winship Cancer Institute, Emory University
Abstract Preview: Purpose: This study aims to improve organ-at-risk (OAR) segmentation in pancreatic cancer stereotactic body radiotherapy (SBRT) by integrating clinical guidelines into deep learning workflows. We use ...
Authors: Xuezhen Feng, Li-Sheng Geng, Haoze Li, Xi Liu, Tianyu Xiong, Ruijie Yang
Affiliation: Department of Health Technology and Informatics, The Hong Kong Polytechnic University, School of Physics, Beihang University, School of Nuclear Science and Technology, University of South China, Department of Radiation Oncology, Peking University Third Hospital
Abstract Preview: Purpose: This study aimed to develop a deep learning-based algorithm for automatically delineate gross tumor volume (GTV) for lung cancer patients, alleviating the workload of radiologists and improvi...
Authors: Andres Portocarrero Bonifaz, Ian Schreiber
Affiliation: CARTI Cancer Center
Abstract Preview: Purpose: To explore how calculation grid resolution, along with other planning factors, affects head and neck dose calculation accuracy and contributes to potential discrepancies in the Eclipse Treatm...
Authors: Mark Anastasio, Hua Li, Zhuchen Shao
Affiliation: Washington University School of Medicine, University of Illinois Urbana-Champaign
Abstract Preview: Purpose: Automated semantic segmentation of cell nuclei in microscopic images is vital for disease diagnosis and tissue microenvironment analysis. However, obtaining large annotated datasets for train...
Authors: Hassan Bagher-Ebadian, Ahmed I Ghanem, Joshua P. Kim, Chengyin Li, Rafi Ibn Sultan, Kundan S Thind, Dongxiao Zhu
Affiliation: Wayne State University, Department of Radiation Oncology, Henry Ford Health-Cancer, Detroit, MI and Alexandria Department of Clinical Oncology, Faculty of Medicine, Alexandria University, Henry Ford Health
Abstract Preview: Purpose: Accurate segmentation of the Left Anterior Descending (LAD) artery in free-breathing 3D treatment planning CT is crucial for radiotherapy but remains challenging due to its small size, comple...
Authors: Michael B. Altman, Marlene Campos Guerrero, Stephanie Markovina, Aaron Silvus
Affiliation: Washington University School of Medicine
Abstract Preview: Purpose: Currently, fluid injections or needle biopsies in small animals are conducted with limited optical guidance introducing an inherent risk of infecting or injuring the animal and limits precisi...
Authors: Yizheng Chen, Md Tauhidul Islam, Mingjie Li, Lei Xing
Affiliation: Department of Radiation Oncology, Stanford University
Abstract Preview: Purpose:
Biomedical image segmentation (BIS) is a cornerstone of medical physics, enabling accurate delineation of anatomical structures and abnormalities, which is critical for diagnosis, treatmen...
Authors: Asma Amjad, Slade J. Klawikowski, Natalya V. Morrow, Haidy G. Nasief, Eric S. Paulson, An Tai, Hualiang Zhong
Affiliation: Department of Radiation Oncology, Medical College of Wisconsin
Abstract Preview: Purpose: Accurate and precise linac-based SRS commissioning can be very challenging. Thus, it is important to increase the confidence in the measurement at each step prior to end-to-end testing. The p...