Authors: Weixing Cai, Laura I. Cervino, Yabo Fu, Bohong Huang, Licheng Kuo, Tianfang Li, Xiang Li, Jean M. Moran, Huiqiao Xie, Hao Zhang
Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center
Abstract Preview: Purpose: Four-dimensional cone-beam computed tomography (4D-CBCT) is critical in image-guided radiotherapy (IGRT) for visualizing tumor motion. However, sparse projection sampling often introduces sev...
Authors: Chloe Doen Kim, Patricia E. Lindsay, Bern Norrlinger, Jan P. Seuntjens
Affiliation: Princess Margaret Cancer Centre & University of Toronto, Queen's University, Princess Margaret Cancer Centre
Abstract Preview: Purpose: To propose a method to check the consistency of VMAT delivery on linear accelerator (LINAC) with a commercial three-dimensional array device. The method is insensitive to the correction facto...
Authors: Xiaoying Pan, X. Sharon Qi
Affiliation: Department of Radiation Oncology, University of California, Los Angeles, School of Computer Science and technology,Xi'an University of Posts and Telecommunications
Abstract Preview: Purpose:
Survival prediction for cancer presents a substantial hurdle in personalized oncology, due to intricate, high-dimensional medical data. Our study introduces an innovative feature selection...
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: Ehsan Abadi, Darrin Byrd, Paul E. Kinahan, Katie Marie Olivas, Ehsan Samei
Affiliation: Duke University, Center for Virtual Imaging Trials, Duke University, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System, University of Washington
Abstract Preview: Purpose: To evaluate the impact of respiratory motion during CT acquisitions on PET image quantification using an integrated PET-CT simulation pipeline.
Methods: A validated CT simulator (DukeSim) ...
Authors: Jing Cai, Zhi Chen, Hong Ge, Yu-Hua Huang, Bing Li, Zihan Li, Ge Ren
Affiliation: Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Department of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital
Abstract Preview: Purpose: Algorithms based on subregional respiratory dynamics (SRD) capture spatiotemporal heterogeneity in the ventilation process, though rely on empirical modelings to map surrogate ventilation. Gi...
Authors: Xianjin Dai, PhD, Xiang Wan, Lei Xing, Qiuyun Xu, Lewei Zhao, Zeyu Zhou
Affiliation: Department of Radiation Oncology, Stanford University, Carl Zeiss X-ray Microscopy, Department of Mathematics and Statistics, Loyola University Chicago, Department of Radiation Oncology, City of Hope National Medical Center
Abstract Preview: Purpose: The purpose of this study is to examine and quantify tumor shrinkage over time in response to fractionated radiotherapy. We seek to establish a predictive model that can provide a systematic ...
Authors: Shinichiro Mori, Isabella Pfeiffer, Chester R. Ramsey, Alexander Usynin
Affiliation: Thompson Proton Center, National Institutes for Quantum Science and Technology, Thompson Cancer Survival Center
Abstract Preview: Purpose: Four-dimensional CT imaging (4DCT) has become a standard tool for managing respiratory motion in radiation therapy. However, many treatment delivery systems and most diagnostic CT scanners la...
Authors: Keisuke Fujii, Masahiro Kitagawa, Arezoo Modiri, Yuichiro Nakano, Ken N. Okada, Robabeh Rahimi, Akira SaiToh, Amit Sawant, Satoyuki Tsukano, Baoshe Zhang
Affiliation: University of Maryland, University of Maryland in Baltimore, Department of Computer and Information Sciences, Sojo University, Center for Quantum Information and Quantum Biology, Osaka University, Maryland University Baltimore, Department of Radiation Oncology, University of Maryland School of Medicine
Abstract Preview: Purpose: Fully personalized radiotherapy requires computational resources far exceeding those of conventional CPU/GPU systems. This study explores the use of quantum computing (QC) in radiotherapy pla...
Authors: Qianyi Xu, Inhwan Yeo
Affiliation: INOVA Schar Cancer Institute, Thomas Jefferson University
Abstract Preview: Purpose:
Four-dimensional computed tomography(4DCT) is prone to a geometrical error when respiration changes upon patient shift. 4DCT with a longer-length detector(16cm), uninvolving the shift, has...
Authors: Kwang-Ho Cheong, Seungryong Cho, Joonil Hwang, Jae Won Jung, Hoyeon Lee, Raymond Hyunwoo Moon, Inhwan Yeo, Jihyung Yoon
Affiliation: East Carolina University, INOVA Schar Cancer Institute, University of Hong Kong, Hanllym University, KAIST, University of Rochester
Abstract Preview: Purpose: Monitoring a target and neighboring organs during beam delivery is crucial for successful radiotherapy (RT). Conventional transit imaging methods lack volumetric reconstruction capabilities, ...
Authors: Cheng-Chieh Cheng, Jeffrey P Guenette, Yajun Li, Bruno Madore, Lei Qin
Affiliation: Brigham and Women's Hospital, National Sun Yat-sen University, Dana-Farber Cancer Institute
Abstract Preview: Purpose: Pilot tone (PT), a compact RF sensor, has been integrated into clinical practice for motion detection. Prior studies proposed mapping PT signals to head positions using a calibration step tha...
Authors: Xiangli Cui, Lingling Liu
Affiliation: Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Hefei Cancer Hospital, Chinese Academy of Sciences
Abstract Preview: Purpose:
Respiratory motion introduces substantial dose uncertainties in lung cancer radiotherapy, particularly affecting dose distribution in Simultaneous Integrated Boost-Stereotactic Body Radiot...
Authors: Mojtaba Behzadipour, Suman Gautam, Tianjun Ma, Ikchit Singh Sangha, Bongyong Song, William Song, Kumari Sunidhi
Affiliation: UC San Diego, Virginia Commonwealth University
Abstract Preview: Purpose: This study aims to develop a knowledge-based voxel-wise dose prediction system using a convolutional neural network (CNN) for high-dose-rate (HDR) prostate brachytherapy and to evaluate its p...
Authors: Martin Frank, Oliver Jäkel, Niklas Wahl
Affiliation: Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Karlsruhe Institute of Technology (KIT)
Abstract Preview: Purpose: Machine learning (ML) models on normal tissue complication and tumor control probability ((N)TCP) exploiting e.g. dosiomic and radiomic features are playing an increasingly important role in ...
Authors: Alison Amos, Alan H. Baydush, Shawna Buchanan, Nicole Carone, Sarah Cummings, Corey Henderson, Christy Hickerson, Gretchen Kessler, Sydney Lash, Kelli Reardon, Michelle Rokni, Sarah B. Wisnoskie, Ashlyn Zebrowski
Affiliation: UNC-Chapel Hill, UNC Chapel HIll, Novant Health
Abstract Preview: Purpose: As Medical Physics 3.0 (MP3.0) progresses, many clinics are integrating consultations with physicists to educate cancer patients, reduce stress, and enhance the patient experience. However, d...
Authors: Teh Lin, Anna Oneil
Affiliation: Fox Chase Cancer Center
Abstract Preview: Purpose: Four-dimensional computed tomography(4DCT) is often required to assess organ motions for thoracic and abdominal cancer patients. This study proposes a quality assurance (QA) procedure for two...
Authors: Petr Bruza, Alexander Geiersbach, David J. Gladstone
Affiliation: Thayer School of Engineering, Dartmouth College
Abstract Preview: Purpose: Cherenkov images are two-dimensional projections of the surface light emissions, and lack spatial information about the radiotherapy beam delivery. We implement the first fusion of Cherenkov ...
Authors: Jadon O Buller, Yankun Lang, Liangzhong Xiang, Andrea Paulina Yanez
Affiliation: University of Maryland School of Medicine, University of California, Irvine
Abstract Preview: Purpose: With the widespread adoption of electroporation, there is growing interest in deep-tissue electric field monitoring. Electroporation therapy ablates target regions by generating electric fiel...
Authors: Li-Sheng Geng, David Huang, Haoze Li, Xi Liu, Meng Wang, Tianyu Xiong, Ruijie Yang, Weifang Zhang, Meixin Zhao
Affiliation: School of Physics, Beihang University, Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Department of Radiation Oncology, Peking University Third Hospital, Department of Nuclear Medicine, Peking University Third Hospital, Medical Physics Graduate Program, Duke Kunshan University
Abstract Preview: Purpose: This study aimed to develop a deep learning-based framework for simultaneously generating lung perfusion and ventilation images from three-dimensional computed tomography (3D CT) images.
M...
Authors: Young-Bin Cho, Jacob Scott, Nara Yoon
Affiliation: Adelphi University, Cleveland Clinic
Abstract Preview: Purpose: The immune system plays a critical role in determining cancer prognosis. Based on our prior study (Cho et al., 2023) about the bystander effect induced by immune responses in spatially design...
Authors: Hyosung Cho, Dae Yup Han, Duhee Jeon, Jiwon Park, Hyesun Yang
Affiliation: Department of Therapeutic Radiology, Yale University School of Medicine, Yonsei University
Abstract Preview: Purpose: To precisely detect intrafraction patient motion during spine stereotactic body radiotherapy (SBRT) treatment delivery, we propose an optimized technique for three-dimensional reconstruction ...
Authors: Katrinus Keijnemans, Eric S. Paulson, An Tai
Affiliation: Department of Radiotherapy, University Medical Center Utrecht, Department of Radiation Oncology, Medical College of Wisconsin
Abstract Preview: Purpose: Time-weighted mid-position images (MidPs), derived from four-dimensional computed tomography (4DCT) via deformable image registration (DIR), are frequently selected for treatment planning due...
Authors: Hulya Ozdemir Buss, Julius G. Ojwang, Neelu Soni
Affiliation: Mercy Hospital Springfield
Abstract Preview: Purpose: The CyberKnife (CK) Synchrony system provides sub-millimeter motion-tracking accuracy during stereotactic body radiotherapy (SBRT). For lung tumors near the diaphragm, we evaluated the feasib...