Authors: Ishika Bhaumik, John M. Boone, Michael T Corwin, Eric S Diaz, Ahmadreza Ghasemiesfe, Andrew M. Hernandez, Sarah E. McKenney, Misagh Piran, Ali Uneri, Eric L White
Affiliation: UC Davis, UC Davis Health, University of California, Johns Hopkins Univ
Abstract Preview: Purpose: A new model CT scanner (Canon Aquilion One Insight) was recently installed at our institution, and it included a 3D Landmark (3DLM) scan for automatic scan planning, a new deep learning recon...
Authors: Sorour Hosseini, YuHuei Jessica Huang, Thomas Boyd Martin, Geoffrey S. Nelson, Nicholas Pierre Nelson, Hui Zhao
Affiliation: University of Utah, Department of Radiation Oncology, Huntsman Cancer Institute, University of Utah
Abstract Preview: Purpose: To evaluate image qualityâincluding noise, contrast-to-noise ratio (CNR), uniformity, and low-contrast visibility (LCV)âon the HyperSight and TrueBeam cone-beam computed tomography (CBCT) pla...
Authors: Ross I. Berbeco, Vera Birrer, Raphael Bruegger, Pablo Corral Arroyo, Roshanak Etemadpour, Dianne M. Ferguson, Rony Fueglistaller, Thomas C. Harris, Yue-Houng Hu, Matthew W. Jacobson, Mathias Lehmann, Nicholas Lowther, Daniel Morf, Marios Myronakis
Affiliation: Brigham and Women's Hospital, Harvard Medial School, Dana-Farber Cancer Institute, Department of Radiation Oncology, Dana Farber/Brigham and Women's Cancer Center, Department of Radiation Oncology, Brigham and Womenâs Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Brigham and Womens Hospital, Dana Farber Cancer Institute, Harvard Medical School, Brigham and Women's Hospital, Varian Imaging Laboratory, Dana-Farber Cancer Institute
Abstract Preview: Purpose: A challenge for dual energy CBCT is that noise and residual errors in material decomposition steps can become amplified when forming low energy, high contrast virtual mono-energetic images (V...
Authors: Jie Deng, Xiaoxue Qian, Hua-Chieh Shao, You Zhang
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center
Abstract Preview: Purpose: Based on a 3D pre-treatment MRI scan, we developed DREME-MR to jointly reconstruct the reference patient anatomy and a data-driven, patient-specific cardiorespiratory motion model. Via a moti...
Authors: Xiaoxue Qian, Hua-Chieh Shao, You Zhang
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center
Abstract Preview: Purpose:
Limited-angle CBCT (LA-CBCT) reduces imaging time and dose but suffers from under-sampling artifacts. 2Dâ3D deformable registration addresses this problem by estimating LA-CBCTs from defor...
Authors: Jiayun Chen, Shengqi Chen, Yuan Tang, Zilin Wang, Guohua Wu, Jianan Wu
Affiliation: Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, School of Electronic Engineering, Beijing University of Posts and Telecommunications, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
Abstract Preview: Purpose:
To develop a novel no-reference image quality assessment (NRIQA) method for evaluating the effectiveness of image preprocessing in MRI-guided radiotherapy (MRIgRT), thereby enhancing clini...
Authors: Louis Archambault, Luc Beaulieu, Alexis Horik, Sajjad Ahmad Khan
Affiliation: Département de Physique, de Génie Physique et D'optique, et Centre de Recherche sur le Cancer, Université Laval, Département de physique, de génie physique et d'optique, Université Laval
Abstract Preview: Purpose: This study presents a novel 2D scintillation dosimeter leveraging long scintillating fibers for quality assurance (QA) in radiotherapy. The primary goal is to optimize critical parameters suc...
Authors: Ross I. Berbeco, Vera Birrer, Raphael Bruegger, Pablo Corral Arroyo, Roshanak Etemadpour, Dianne M. Ferguson, Rony Fueglistaller, Thomas C. Harris, Yue-Houng Hu, Matthew W. Jacobson, Mathias Lehmann, Marios Myronakis
Affiliation: Brigham and Women's Hospital, Harvard Medial School, Dana-Farber Cancer Institute, Department of Radiation Oncology, Dana Farber/Brigham and Women's Cancer Center, Department of Radiation Oncology, Brigham and Womenâs Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Brigham and Women's Hospital, Varian Imaging Laboratory, Dana-Farber Cancer Institute
Abstract Preview: Purpose: Dual-energy imaging offers benefits, including metal artifact reductions (MAR) and improved contrast, that enhance visualization. Currently, dual-energy imaging is largely limited to CT scann...
Authors: Denisa R. Goia, M. Saiful Huq, Ronald John Lalonde, Fang Li, Noor Mail, Joseph Shields, Christopher Tyerech
Affiliation: UPMC Hillman Cancer Center, UPMC Hillman Cancer Center and University of Pittsburgh School of Medicine, Department of Radiation Oncology, University of Pennsylvania, UPMC
Abstract Preview: Purpose: HyperSight is a new platform for image-guided radiation therapy, offering advanced reconstruction algorithms, a large field-of-view, and rapid acquisition times. To validate the performance o...
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: Cem Altunbas, Farhang Bayat
Affiliation: Department of Radiation Oncology, University of Colorado School of Medicine, Taussig Cancer Center, Cleveland Clinic
Abstract Preview: Purpose:
Low dose imaging and scatter rejection hardware in CBCT reduces X-ray fluence incident on the imager, increasing noise, causing photon starvation artifacts in CBCT images. In this work, we...
Authors: Ross I. Berbeco, Vera Birrer, Raphael Bruegger, Pablo Corral Arroyo, Roshanak Etemadpour, Dianne M. Ferguson, Rony Fueglistaller, Thomas C. Harris, Yue-Houng Hu, Matthew W. Jacobson, Mathias Lehmann, Marios Myronakis
Affiliation: Medical Physics Department, Medical School, University of Thessaly, Brigham and Women's Hospital, Harvard Medial School, Dana-Farber Cancer Institute, Department of Radiation Oncology, Dana Farber/Brigham and Women's Cancer Center, Department of Radiation Oncology, Brigham and Womenâs Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Brigham and Women's Hospital, Varian Imaging Laboratory
Abstract Preview: Purpose:
Dual-layer kV imager (DLI) architecture enables the capability for single-shot dual-energy (DE) intrafraction imaging. As noise from individual DLI layers are primarily uncorrelated, simpl...
Authors: Michael Cuddy, Samuel J. Fahrenholtz, Khushnood Hamdani, Saman Jirjes, Robert G. Paden, Jeremiah W. Sanders, William F. Sensakovic, Wolfgang Stefan, Jeffrey Xiao, Yuxiang Zhou
Affiliation: Mayo, Mayo Clinic Arizona, Mayo Clinic
Abstract Preview: Title: An automated system for MRI coil performance evaluation
Purpose: To develop an automated quality control (QC) system for MRI coils to assess element-level signal-to-noise ratio (SNR), ar...
Authors: Nawal Alqethami, Felix Ginzinger, Prasannakumar Palaniappan, Marco Riboldi, Philipp Steininger, Wentao Xie
Affiliation: Research & Development, medPhoton GmbH, Department of Medical Physics, Ludwig-Maximilians-UniversitĂ€t (LMU) MĂŒnchen, Department of Medical Physics, Ludwig-Maximilians-UniversitĂ€t MĂŒnchen (LMU Munich)
Abstract Preview: Purpose:
This study evaluates the image quality of Dual-Energy (DE) X-ray imaging for lung tumor tracking across various sizes and protocols, comparing its imaging dose to Single-Energy (SE) imagin...
Authors: Petr Bruza, Jeremy Eric Hallett, Brian W Pogue
Affiliation: Thayer School of Engineering, Dartmouth College, University of Wisconsin - Madison, University of Wisconsin-Madison
Abstract Preview: Purpose: Cherenkov imaging is a powerful tool for localizing entrance and exit dose during radiotherapy treatment. The current implementation uses an intensified-CMOS (iCMOS) camera allowing for high-...
Authors: Victor B. Kassey, Maciej M. Kmiec, Periannan Kuppusamy, Sergey V. Petryakov, Conner Ubert
Affiliation: Dartmouth College
Abstract Preview: Purpose: Tumor hypoxiaâa state of reduced oxygen supplyâis well known to affect treatment response, particularly in radiotherapy and chemotherapy. Oxygen-enhanced magnetic resonance imaging (OE-MRI) u...
Authors: Jorge Naoki Dominguez Kondo, Qihui Lyu
Affiliation: University of California San Francisco, Department of Radiation Oncology, University of California, San Francisco
Abstract Preview: Purpose:
Targeted alpha therapy (TAT) has emerged as a highly potent therapeutic method in oncology, but its development is limited by the lack of imaging methods to quantify its dosimetry. Convent...
Authors: Austen N. Curcuru, Arash Darafsheh, Winter Green, Yao Hao, Baozhou Sun, Tiezhi Zhang, Tianyu Zhao, Xiandong Zhao
Affiliation: WashU Medicine, Washington University School of Medicine, Department of Radiation Oncology, Washington University School of Medicine, Washington University in St. Louis, University of South Florida, Baylor College of Medicine
Abstract Preview: Purpose: Intensity modulated proton therapy (IMPT) requires precise setup imaging due to the sharp dose gradients and rapid distal fall-off seen in proton therapy dose distributions. Additionally, onl...
Authors: Kainoa Calistro-Allen, Brendon J. Villegas
Affiliation: University of Alabama Birmingham
Abstract Preview: Purpose:
To compare differences in radiation output and image quality in clinical esophagrams across fluoroscope vendors in use at University of Alabama Birmingham, prompted by reports that a newly...
Authors: Petr Bruza, Jeremy Eric Hallett, Brian W Pogue, Yucheng Tang, Shiru Wang
Affiliation: NVIDIA Corp, Dartmouth College, Thayer School of Engineering, Dartmouth College, University of Wisconsin-Madison, University of Wisconsin - Madison
Abstract Preview: Purpose: Cherenkov imaging allows for real-time visualization of megavoltage X-ray or electron beam delivery during radiation therapy. By using a time-gated intensified CMOS camera synchronized with a...
Authors: Xuelian Chen, John Ginn, Zhuhong Li, Kaizhong Shi, Chunhao Wang, Jianliang 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: Developing deep learning-based models for accurate automated breast cancer diagnosis from mammography presents significant challenges due to the small size and subtle nature of breast lesions...
Authors: Serdar Charyyev, Cynthia Fu-Yu Chuang, Veng Jean Heng, Lianli Liu, Lei Xing, Yong Yang
Affiliation: Department of Radiation Oncology, Stanford University
Abstract Preview: Purpose: To replace large finite-size photon phase space files with a compact neural network capable of generating an infinite number of particles.
Methods: Three separate models were developed to ...
Authors: Kimberly Chan, Anke Henning, Mahrshi Jani, Andrew Wright, Xinyu Zhang
Affiliation: Advanced Imaging Research Center (AIRC), UT Southwestern Medical Center
Abstract Preview: Purpose: To evaluate the performance of multiple deep learning architectures for MRSI reconstruction and determine their effectiveness in maintaining high-resolution metabolite mapping while reducing ...
Authors: Alan Rui Li, Qihui Lyu, Dan Ruan, Ke Sheng
Affiliation: Department of Radiation Oncology, University of California, Los Angeles, University of California San Francisco, Department of Radiation Oncology, University of California, San Francisco
Abstract Preview: Purpose:
The Sparse Primary Sampling (SPS) grid was shown in a previous computational study to improve image quality by correcting scatter-induced effects and artifacts in Cone-beam Computed Tomogr...
Authors: Nathalie Correa, Janet Ching-Mei Feng, Chun-Han Huang, Jimmy Huynh
Affiliation: UTHealth McGovern Medical School
Abstract Preview: Purpose: To compare the image quality and the dose-area product (DAP) of four mobile digital radiography (DR) systemsâCanon (Soltus 500), Shimadzu (MobileDaRt Evolution MX8), Solution for Tomorrow (M1...
Authors: Laura I. Cervino, Karen Episcopia, Hsiang-Chi Kuo, Sangkyu Lee, Seng Boh Gary Lim, Shih-Chi Lin, Grace Tang
Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center
Abstract Preview: Purpose: This study evaluated the performance of the HyperSight Cone-Beam Computed Tomography (CBCT) system on a TrueBeam C-arm LINAC (TB) and two Ethos ring-gantry LINACs (ES) for adaptive radiation ...
Authors: Kota Hirose, Daisuke Kawahara, Jokichi Kawazoe, Yuji Murakami
Affiliation: Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Graduate School of Biomedical and Health Sciences, Hiroshima University
Abstract Preview: Purpose: Synthesizing medical images can address the lack of or unscanned medical images, reducing scanner time and costs. However, paired image scarcity remains a challenge for image synthesis. We pr...
Authors: Stephen Bhagroo, Sorour Hosseini, YuHuei Jessica Huang, Jeremy Kunz, Thomas Boyd Martin, Geoffrey S. Nelson, Nicholas Pierre Nelson, Ryan G. Price, Hui Zhao
Affiliation: University of Utah, Department of Radiation Oncology, Huntsman Cancer Institute, University of Utah
Abstract Preview: Purpose: To investigate the correlation between HyperSight CBCT imaging dose and image quality.
Methods: Six-series of 174 CBCT scans were acquired using HyperSight on Halcyon (125kV, 133-971mAs, F...
Authors: Jacqueline M. Andreozzi, Tess Armstrong, Shiva Bhandari, John M Bryant, Jessica M Frakes, David J. Gladstone, Sarah E Hoffe, Kujtim Latifi, Arash Naghavi, Steven Nichols, Ibrahim M. Oraiqat, Russell Palm, Gage H. Redler, Stephen A Rosenberg, Joseph Weygand
Affiliation: Department of Radiation Oncology and Applied Science, Dartmouth Health, Thayer School of Engineering, Dartmouth College, Department of Radiation Oncology, Ohio State University, Moffitt Cancer Center, Department of Radiation Oncology, Moffitt Cancer Center
Abstract Preview: Purpose: The MR-linac provides unique opportunities for integrating advanced imaging into radiotherapy workflows, but the lower sensitivity of systems like the 0.35T model can pose challenges for diff...
Authors: Soon N. Huh, Perry B. Johnson, Jiyeon Park, Ryan Stevens
Affiliation: University of Florida Health Proton Therapy Institute, UF Health Proton Therapy Institute, UFHPTI
Abstract Preview: Purpose:
Cone-beam computed tomography (CBCT) doses shall be limited for pediatric patients in clinical settings. Device called Filtimator (filter+collimator) was custom designed to reduce setup CB...
Authors: Morgan A. Daly, David J. Goodenough, Andrew M. Hernandez, John M. Hoffman, Joshua Levy, Michael F. McNitt-Gray, Ali Uneri, Bino Varghese
Affiliation: University of California, George Washington University, David Geffen School of Medicine at UCLA, Johns Hopkins Univ, University of Southern California, The Phantom Laboratory
Abstract Preview: Purpose: Quantitative imaging is affected by CT acquisition and reconstruction conditions, limiting robustness in multi-site or -scanner studies. This work aimed to develop a dataset that will enable ...
Authors: Henry Szu-Meng Chen, Mu-Lan Jen, Vinodh A. Kumar, Ho-Ling Anthony Liu, Jian Ming Teo
Affiliation: School of Medicine, University of Colorado Denver, Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center
Abstract Preview: Purpose: Resting-state (rs-) fMRI detects functional networks by measuring synchronization of low-frequency oscillations in blood-oxygenation-level-dependent (BOLD) signals between brain regions. Stan...
Authors: Penghao Gao, Zejun Jiang, Huazhong Shu, Linlin Wang, Gongsen Zhang, Jian Zhu
Affiliation: Laboratory of Image Science and Technology, Key Laboratory of Computer Network and Information Integration, Southeast University, Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Artificial Intelligence Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences
Abstract Preview: Purpose: We propose a cascading framework for time-varying anatomical volumetric reconstruction and tumor-tracking, guided by onboard orthogonal-view X-ray projections.
Methods: We employe multiple...
Authors: Xiaoyi Dai, Manju Liu, Weiwei Sang, Pulin Sun, Fan Xia, Zhenyu Yang, Fang-Fang Yin, Chulong Zhang, Rihui Zhang
Affiliation: Jiahui International Hospital, Radiation Oncology, Duke Kunshan University, Medical Physics Graduate Program, Duke Kunshan University
Abstract Preview: Purpose:
Current deep learning-based sparse-view CBCT reconstruction methods are prone to hallucinatory artifacts, as they rely on inferred image details that may not correspond to true anatomical ...
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...
Authors: Maciej M. Kmiec, Periannan Kuppusamy, Ryan C. O'Connell, Sergey V. Petryakov, Conner Ubert
Affiliation: Dartmouth College
Abstract Preview: Purpose: The rigid needle-like EPR sensor, OxyTrack, was developed to provide minimally invasive, reliable, and quantitative measurements of oxygen distribution (pO2) in deep tissues. EPR oximetry's c...
Authors: Hassan Bagher-Ebadian, Justine M. Cunningham, Anthony J. Doemer, Mohammad M. Ghassemi, Joshua P. Kim, Benjamin Movsas, Kundan S Thind
Affiliation: Michigan State University, Henry Ford Health
Abstract Preview: Purpose: Reduction of noise in medical images critically enables improved accuracy in delineating tumors and organs at risk, leading to more precise treatment planning and safer image-guided radiation...
Authors: Mengqi Shen, Meghna Trivedi, Tony J.C. Wang, Andy (Yuanguang) Xu, Yading Yuan
Affiliation: Columbia University Medical Center, Dept of Med Hematology & Oncology, Data Science Institute at Columbia University, Columbia University Irving Medical Center, Department of Radiation Oncology, Columbia University Irving Medical Center
Abstract Preview: Purpose: T2-weighted (T2w) images are critical for identifying pathological changes due to their superior contrast in differentiating tissue types. However, they often lack detailed anatomical resolut...
Authors: Yi-Fang Wang, Yading Yuan
Affiliation: Columbia University Irving Medical Center, Department of Radiation Oncology, Columbia University Irving Medical Center
Abstract Preview: Purpose: HyperSight, the latest CBCT technology from Varian Medical Systems, integrates rapid 6-second data acquisition with advanced iterative reconstruction and upgraded hardware. Previous studies h...
Authors: Xiaoyu Duan, Xinyu Hu, Runqiu Li, Xiang Li
Affiliation: Dukekunshan University, Medical Physics Graduate Program, Duke Kunshan University
Abstract Preview: Purpose:
Accurate detection of small-sized microcalcifications (ΌCalcs) (< 500 ”m) is critical for early breast cancer diagnosis, requiring optimal imaging systems and reconstruction algorithms. Ho...
Authors: Gisell Ruiz Boiset, Paulo ROBERTO Costa, Luuk J Oostveen, Elsa Bifano Pimenta, Ioannis Sechopoulos, Alessandra Tomal
Affiliation: Radboud University Medical Center, University of SĂŁo Paulo (USP), Institute of Physics, Universidade Estadual de Campinas. Instituto de FĂsica Gleb Wataghin
Abstract Preview: Purpose: This study aimed to evaluate the precision and accuracy of volume measurements for solid nodules (SNs) and ground-glass opacities (GGOs) in lung images acquired using energy-integrating CT (E...
Authors: Chunhui Han, An Liu, William T. Watkins, Qiuyun Xu
Affiliation: Department of Radiation Oncology, City of Hope National Medical Center
Abstract Preview: Purpose: To evaluate the RefleXion X1 imaging system as a standalone positron emission tomography and computed tomography (PET/CT) simulator for radiotherapy treatment planning and adaptive re-plannin...
Authors: Denis Bergeron, Larry A. DeWerd, Sean Jollota, Peyton Alexandra Lalain, Likhitha Polepalli
Affiliation: Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, National Institute of Standards and Technology
Abstract Preview: Purpose: 90Y is a challenging radionuclide to measure because it is a pure beta-emitter and is typically quantified using a radionuclide calibrator. These devices, such as the Capintec model used in t...
Authors: Ciprian N. Ionita, Parisa Naghdi, Ahmad Rahmatpour
Affiliation: University at Buffalo, SUNY: University at Buffalo
Abstract Preview: Purpose: Quantitative angiography (QA) evaluates neurovascular hemodynamics, but is affected by X-ray parameters, vessel foreshortening, and imaging chain factors like detector efficiency, pixel size,...
Authors: Xiaodong Wu, Xingchen Zhai, Weizhao Zhao
Affiliation: University of Miami
Abstract Preview: Purpose: The ZAP-X is a self-contained, self-shielded radiosurgery system utilizing a 3MV LINAC. Its self-shielded design, poses challenges for conventional beam quality assurance (QA) methods. This s...
Authors: Xiangli Cui, Chunyan Fu, Man Hu, Wanli Huo, Jingyu Liu, 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, Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Department of Oncology, Xiangya Hospital, Central South University, College of Information Engineering, China Jiliang University, Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences
Abstract Preview: Purpose: To quantify the impact of fine-tuning strategies for pre-trained AI image generation models on glioma MRI image quality and observer performance, and to determine the optimal fine-tuning conf...
Authors: Prabhu C. Acharya, Hassan Bagher-Ebadian, Stephen L. Brown, James R. Ewing, Mohammad M. Ghassemi, Benjamin Movsas, Farzan Siddiqui, Kundan S Thind
Affiliation: Michigan State University, Oakland University, Henry Ford Health
Abstract Preview: Purpose: Accurate T1 quantification using T One by Multiple Read Out Pulse (TOMROP) sequences is essential for physiological assessments in dynamic-contrast-enhanced (DCE) MRI and T1 mapping studies. ...
Authors: Dirk A Bartkoski, Michael Kleckner, Dongyeon Lee, Reza Reiazi, Mohammad Reza Salehpour
Affiliation: The University of Texas MD Anderson Cancer Center, Convergent-RnR
Abstract Preview: Purpose:
To develop and validate G4BraggReflection, a novel physics process within Geant4, designed to incorporate diffraction properties resulting in Bragg reflection into Monte Carlo simulations....
Authors: Ming Chao, Karyn A Goodman, Yang Lei, Tian Liu, Jing Wang, Jiahan Zhang
Affiliation: Icahn School of Medicine at Mount Sinai
Abstract Preview: Purpose: Real-time volumetric MRI is essential for motion management in MRI-guided radiotherapy (MRIgRT), yet acquiring high-quality 3D images remains challenging due to time constraints and motion ar...
Authors: Davide Brivio, Lia Carroll, Juliane Daartz, Jan PO Schuemann, Piotr Zygmanski
Affiliation: Massachusetts General Hospital, Department of Radiation Oncology, Brigham and Womenâs Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Massachusetts General Hospital and Harvard Medical School
Abstract Preview: Purpose: We employ High-Energy Current (HEC) detectors for real-time monitoring of proton beams at conventional to FLASH dose rates. This would help overcome the need for fast and accurate dosimeters ...
Authors: Kofi M. Deh, Tamas Jozsa, Tsang-Wei Tu
Affiliation: Cranfield University, Howard University Hospital, Howard University
Abstract Preview: Purpose: To enhance the quality of hyperpolarized (HP) 13C magnetic resonance images by integrating deep learning with perfusion modeling.
Methods: A convolutional neural network (CNN) and a superr...
Authors: Cecelia Brewington, Connor Edwards Miles All Leska-Kent, Kyrillos Grace, Katherine Hyde, Sabee Molloi, Shiva Mostafavi, Liqiang Ren, Alireza Shojazadeh, Justin Truong
Affiliation: Department of Radiology, UT Southwestern Medical Center, University of California, Irvine, University of Texas Southwestern
Abstract Preview: Purpose: To retrospectively assess image quality in coronary CT angiography (CCTA) using a patient-specific post-trigger delay (PTD) protocol, developed using half of the injection time plus a dispers...
Authors: John M. Boone, Andrew M. Hernandez, Paul E. Kinahan, Michael F. McNitt-Gray, Jeffrey H. Siewerdsen, Ali Uneri
Affiliation: University of California, Johns Hopkins Univ, UT MD Anderson Cancer Center, David Geffen School of Medicine at UCLA, University of Washington, UC Davis Health
Abstract Preview: Purpose: Measuring image quality (IQ) in large clinical databases, such as the Medical Imaging and Data Resource Center (MIDRC), is challenging due to the inherent complexity of image content and the ...
Authors: Wei Luo, Cameron Thayer-Freeman, Yifeng Zhao
Affiliation: University of Kentucky, Department of Radiation Medicine, University of Kentucky
Abstract Preview: Purpose: Real-time Kilovoltage (kV) imaging has emerged as a powerful clinical aid, providing high-precision localization of moving targets during treatment. However, the Megavoltage (MV) treatment be...
Authors: Jason Chiang, Magnus Dahlbom, Veronica Hankil, Xinyi Li, Catherine (Caffi) Meyer, Kyung Hyun Sung
Affiliation: UCLA, University of California, Los Angeles
Abstract Preview: Purpose:
Yttrium-90 (90Y) radioembolization is a well-established therapy for large or multifocal liver tumors. Accurate dosimetry is critical but remains challenging, as low particle density risks...
Authors: Muhammed AR Anjum, Andrew J. Fagan
Affiliation: Mayo Clinic
Abstract Preview: Purpose:
This study describes a novel post-processing method to boost image SNR for deuterium-MRI acquired using chemical shift imaging (CSI) at 7T. Deuterium MRI via exogenous administration of a ...
Authors: Theodore Higgins Arsenault, Kenneth W. Gregg, Lauren E Henke, Rojano Kashani, Christian Erik Petersen, Alex T. Price, Atefeh Rezaei, Runyon C. Woods
Affiliation: University Hospitals Seidman Cancer Center
Abstract Preview: Purpose: CBCT is subject to more artifacts due to increased photon scatter, especially in areas of increased tissue heterogeneities compared to fan-beam CTs (FBCTs). Improved imaging panels combined w...
Authors: James M. Balter, Alexander Moncion, Ikechi S Ozoemelam
Affiliation: University of Michigan
Abstract Preview: Purpose: Sequential dual-energy cone beam computed tomography (DE-CBCT) integrated with an online adaptive platform could potentially improve soft tissue visualization for more accurate anatomical del...
Authors: Qihui Lyu, Javier Caravaca Rodriguez, Youngho Seo, Ke Sheng, Jingjie Yu
Affiliation: University of California San Francisco, University of California, San Francisco, Department of Radiation Oncology, University of California, San Francisco
Abstract Preview: Purpose:
Simultaneous broad-energy imaging is critical for many theragnostic applications, but the current Single-Photon Emission Computed Tomography (SPECT) can only image low energy photons with ...
Authors: James Ward, Anzi Zhao
Affiliation: Northwestern Medicine
Abstract Preview: Purpose: This study investigates the impact of tissue-equivalent attenuator materials, the region of interest (ROI) size, and the orientation of the attenuator positioning on the measured signal-to-no...
Authors: Ahad Ollah Ezzati, Xiaoyu Hu, Xun Jia, Youfang Lai, Kai Yang, Yuncheng Zhong
Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Massachusetts General Hospital, Johns Hopkins University
Abstract Preview: Purpose: Gantry motion and patient breathing during a breast cone beam CT (bCBCT) scan is one of the major challenges for microcalcification (ÎŒCalcs) detection. By deploying a large number of individu...
Authors: Nicholas Carlson, Joel J. St-Aubin
Affiliation: University of Iowa Hospitals and Clinics, University of Iowa
Abstract Preview: Purpose: To establish baselines metrics and determine longitudinal accuracy and reproducibility of Diffusion-Weighted Imaging (DWI) and Apparent Diffusion Coefficient (ADC) values for a 1.5T Elekta Un...
Authors: NadÚge Anizan, Jean-Noël Badel, Thomas Baudier, David Broggio, Désirée Deandreis, Ludovic Ferrer, Didier Franck, Camilo Garcia, Jean Gasteuil, Anne-Laure Giraudet, Olivier Humbert, Laetitia Imbert, Malick Koulibaly, Stéphanie Lamart, Sébastien Leygnac, Alexandre Pignard, Caroline Rousseau, Guido Rovera, David Sarrut, Paul Schwartz, Nicolas Varmenot
Affiliation: Institut de CancĂ©rologie de lâOuest, Service de MĂ©decine NuclĂ©aire, Gustave Roussy, Service de Physique MĂ©dicale, Institut BergoniĂ©, Service de Physique MĂ©dicale, CHRU de Nancy Brabois, Service de MĂ©decine NuclĂ©aire, Centre de lutte contre le cancer LĂ©on BĂ©rard, UniversitĂ© de Lyon, Centre Antoine Lacassagne, Service de MĂ©decine NuclĂ©aire, UniversitĂ© Nice CĂŽte dâAzur, Centre Antoine Lacassagne, Service de MĂ©decine NuclĂ©aire, Gustave Roussy, Service de MĂ©decine NuclĂ©aire, Institut de CancĂ©rologie de lâOuest, Service de Physique MĂ©dicale, Service de MĂ©decine NuclĂ©aire, AutoritĂ© de SĂ»retĂ© NuclĂ©aire et de Radioprotection (ASNR), PSE-SANTE/SDOS/LEDI, AutoritĂ© de SĂ»retĂ© NuclĂ©aire et de Radioprotection (ASNR), PSE-SANTE/SDOS, CREATIS CNRS UMR 5220; INSERM U 1044; UniversitĂ© de Lyon; INSAâLyon, CREATIS CNRS UMR 5220; INSERM U 1044; UniversitĂ© de Lyon; INSAâLyon; Centre de lutte contre le cancer LĂ©on BĂ©rard, Institut BergoniĂ©, Service de MĂ©decine NuclĂ©aire
Abstract Preview: Purpose: The main objective of the Lu-PSMA-Dose study, sponsored by ASNR, is to estimate retrospectively the individual absorbed dose delivered to patients treated with 177Lu-PSMA for metastatic castr...
Authors: Gisell Ruiz Boiset, Paulo ROBERTO Costa, Luuk J Oostveen, Elsa Bifano Pimenta, Ioannis Sechopoulos, Alessandra Tomal
Affiliation: Radboud University Medical Center, University of SĂŁo Paulo (USP), Institute of Physics, Universidade Estadual de Campinas. Instituto de FĂsica Gleb Wataghin
Abstract Preview: Purpose: The study evaluated the accuracy and precision of lung nodule volume measurements, specifically solid nodules (SNs) and ground-glass opacities (GGOs) in different imaging settings.
Methods...
Authors: Silvia Calusi, Lucia Cavigli, Alberto Dalla Mora, Laura Di Sieno, Giacomo Insero, Riccardo Lisci, Livia Marrazzo, Cosimo Nardi, Stefania Pallotta, Andrea Profili, Fulvio Ratto, Giovanni Romano, Michaela Servi, Immacolata Vanore, Yary Volpe
Affiliation: Italian National Research Council IFAC-CNR, Institute of Applied Physics, Department of Physics, Politecnico di Milano, Department of Agricultural Food and Forestry System, University of Florence, Medical Physics Unit, Azienda Ospedaliero-Universitaria Careggi, Department of Industrial Engineering, University of Florence, Department of Experimental and Clinical Biomedical Sciences âMario Serioâ, University of Florence
Abstract Preview: Purpose: To develop a multi-purpose lung phantom prototype to replicate respiratory dynamics and morphological features observed in clinical radiological (CT and MR) imaging of lung parenchyma.
Met...
Authors: Ziqi Gao, Lei Xing, Siqi Ye, S. Kevin Zhou
Affiliation: Department of Radiation Oncology, Stanford University, University of Science and Technology of China (USTC)
Abstract Preview: Purpose: To address the challenge of high memory usage in volumetric cone-beam CT (CBCT) imaging, we propose a method that combines joint reconstruction and super-resolution for sparsely sampled CBCT ...
Authors: Dirk A Bartkoski, Leonard Che Fru, Benjamin Abraham Insley, Michael Kleckner, Dongyeon Lee, Reza Reiazi, Mohammad Reza Salehpour, Aviad Schori, Ramesh C. Tailor
Affiliation: Empyrean Medical Systems, The University of Texas MD Anderson Cancer Center, Convergent-RnR, The University of Texas, MD Anderson, Houston TX
Abstract Preview: Purpose: A Geant4-based model was created for a G4BraggReflection process to simulate radiation transport within a novel radiotherapy system developed by Convergent Radiotherapy and Radiosurgery (CRnR...
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: Scatter in X-ray imaging degrades image quality, hindering the visibility of critical anatomical features and complicating patient alignment in radiation therapy. This study aims to improve s...
Authors: Gregory J Bootsma, Tunok Mondol
Affiliation: University Health Network, Princess Margaret Cancer Center
Abstract Preview: Purpose:
To evaluate the impact of prototype fluence field modulation (FFM) cone-beam CT (CBCT) on dose reduction and image quality using Monte Carlo simulations. This study particularly looks at t...
Authors: Karyn A Goodman, Yang Lei, Tian Liu, D. Michael Lovelock, Charlotte Elizabeth Read, Jing Wang, Jiahan Zhang
Affiliation: Icahn School of Medicine at Mount Sinai
Abstract Preview: Purpose: Real-time volumetric MRI is essential for precise motion management in MRI-guided radiotherapy (MRIgRT). While 2D Cine MRI offers high temporal resolution for motion tracking, it inherently l...
Authors: Corentin Desport, Dominique Iacchetti, Nicolas Kien, Ramiro Moreno, Melodie Munier, Séléna Pondard
Affiliation: Fibermetrix, Alara Expertise, Alara Group
Abstract Preview: Purpose: To evaluate the efficiency of organ-based tube current modulation (OBTCM) in thoracic and abdominopelvic Computed Tomography (CT) for different radiology departments and manufacturers. This s...
Authors: Magdalena Bazalova-Carter, Ross I. Berbeco, James Day, Xinchen Deng, Chelsea Amanda Saffron Dunning, Dianne M. Ferguson, Matthew W. Jacobson, Toby Morris, Marios Myronakis, Jericho Daniel O'Connell, Fides Schwartz, Jainil Shah, Aaron Sodickson
Affiliation: Brigham and Womens Hospital, University of Massachsetts Lowell and Dana-Farber Cancer Institute Boston, Medical Physics Department, Medical School, University of Thessaly, Brigham and Women's Hospital, Harvard Medial School, Dana-Farber Cancer Institute, Department of Radiation Oncology, University of Washington, University of Victoria, Siemens Healthineers, Dana Farber/Brigham and Women's Cancer Center, Brigham and Women's Hospital
Abstract Preview: Purpose: While CT imaging has advanced with improved machine design, we propose further gains can be achieved by enhancing sensitivity to contrast agents. Current CT sensitivity is limited to 1% bismu...
Authors: Daniel O Connor, Mary Feng, Hui Lin, Hengjie Liu, Xin Miao, Michael Ohliger, Jess E. Scholey, Ke Sheng, DI Xu, Wensha Yang, Yang Yang
Affiliation: UCSF, University of California, Los Angeles, Department of Radiation Oncology, University of California San Francisco, Department of Radiation Oncology, University of California, San Francisco, Department of Radiation Oncology, University of California at San Francisco, University of San Francisco, Department of Radiology, University of California, San Francisco, University of California San Francisco, Siemens Medical Solutions USA Inc.
Abstract Preview: Purpose: The scanning time for a fully sampled MRI is lengthy. Compressed sensing (CS) has been developed to minimize image artifacts in accelerated scans, but the required iterative reconstruction is...
Authors: Victor B. Kassey, Maciej M. Kmiec, Periannan Kuppusamy, Ryan C. O'Connell, Sergey V. Petryakov, Conner Ubert
Affiliation: Dartmouth College
Abstract Preview: Purpose: High-resolution magnetic field uniformity is essential for quantitative and pre-clinical MRI research. Imaging uniformity is affected by the B0 field, which can be corrected using manual or a...
Authors: Yan Dai, Jie Deng, Xun Jia, Wen Li, Junzhong Xu
Affiliation: Johns Hopkins University, Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center, Department of Radiology, Vanderbilt University Medical Center, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center
Abstract Preview: Purpose: Cell size is a vital parameter in evaluating the tumor microenvironment, including cell apoptosis and radiotherapy(RT)-induced immune cell infiltration. The IMPULSED(Imaging Microstructural P...
Authors: Xiaohu Li, Jianjun Shen, Guozhi Zhang, Sihua Zhong, Jingjie Zhou
Affiliation: United Imaging Healthcare
Abstract Preview: Purpose:
Visualization of carotid artery vessel wall on computed tomography angiography (CTA) imaging is challenging. This study aims to develop a novel post-processing technique, black-blood compu...
Authors: Muhammad Ramish Ashraf, Clinton Gibson, Gregory Szalkowski, Lei Wang, Siqi Wang, Lei Xing
Affiliation: Department of Radiation Oncology, Stanford University, Department of Radiation Oncology, Stanford University School of Medicine, Stanford University
Abstract Preview: Purpose: To develop a neural network-based super-resolution framework for enhancing the resolution of sparse dosimetry measurements in patient-specific radiotherapy QA. Sparse detector arrays, such as...
Authors: Hyejoo Kang, Andrew Keeler, Mathias Lehmann, Jason Patrick Luce, Ha Nguyen, John C. Roeske
Affiliation: Varian Imaging Laboratory, Department of Radiation Oncology, Stritch School of Medicine, Loyola University Chicago, Stritch School of Medicine Loyola University Chicago, Cardinal Bernardin Cancer Center, Loyola University Chicago
Abstract Preview: Purpose: Markerless tumor tracking (MTT) using dual-energy (DE) subtraction imaging is being considered as a non-invasive method to track tumors during lung cancer treatment. Prior to clinical impleme...
Authors: Yan Dai, Jie Deng, Xun Jia, Wen Li
Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University, Medical Artificial Intelligence and Automation (MAIA) Laboratory, 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: Cell microstructure information is critical for radiotherapy response assessment. Diffusion MRI (dMRI) offers great potential in deriving cell parameters. Yet parameters estimated in existing...
Authors: Alex Lindgren-Ruby, Jeffrey M. Moirano, Joseph Everett Wishart
Affiliation: University of Washington
Abstract Preview: Purpose:
To evaluate polynomial fitting of signal intensity for signal-to-noise ratio (SNR) estimation from weekly QC ACR MRI phantom images and compare against other SNR estimation methods as well...
Authors: Caroline Cheney, Patricia G Collins, Allen R. Goode, Preston Le, Andrew M. Polemi, Angela Snyder
Affiliation: UVA Health, Atirix Medical Systems
Abstract Preview: Purpose: Optimize ongoing quality control (QC) for radiographic (DR) and fluoroscopic (FL) systems by identifying metrics most sensitive to hardware disruptions among regional noise, pooled noise, sig...
Authors: Jennifer Kwak, Chelsea Manica, Justin K. Mikell, Michael Silosky, Wendy Siman
Affiliation: Washington University School of Medicine in St. Louis, University of Colorado Anschutz Medical Campus, School of Medicine, Rocky Vista University
Abstract Preview: Purpose:
This study evaluates synthetic planar imaging (synP) from SPECT projections against conventional planar imaging, focusing on detectability, spatial resolution, and feasibility. SynP allows...
Authors: Azza Mohamed Ahmed, Nadine Francis, Osama Khan, Nabil Maalej, Aamir Raja, Briya Tariq
Affiliation: Khalifa University
Abstract Preview: Purpose: The study aims to evaluate the task-specific diagnostic performance of spectral photon-counting CT (SPCCT) using application-specific phantoms.
Methods:
Parameters such as linearity res...
Authors: Rebecca Lamoureux, Zahra (Zara) Razi, Zachary Whipps
Affiliation: University of New Mexico Hospital
Abstract Preview: Purpose: Patient mispositioning in CT imaging contributes to inconsistent radiation dose delivery and suboptimal image quality, impacting patient safety and diagnostic outcomes. This study evaluates a...
Authors: Jie Deng, Yunxiang Li, You Zhang
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center
Abstract Preview: Purpose: Magnetic Resonance Imaging (MRI) has exceptional soft tissue contrast and an essential role in radiotherapy. The introduction of clinical MR-LINACs has enabled adaptive radiotherapy (ART) usi...
Authors: Harold Y Hu, Yanle Hu, Shuai Leng, Maryam Sadeghian, Joe Swicklik
Affiliation: Mayo Clinic Arizona, Basis Scottsdale, Mayo Clinic
Abstract Preview: Purpose: Radiotherapy CT simulation often requires two scans: a non-contrast scan for dose calculation and a contrast-enhanced scan for target delineation. Photon-counting-detector (PCD) CT allows the...