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Results for "new algorithm": 54 found

3D Image Quality Evaluation of a New CT Scanner Employing 3D Landmark Scans, Super Resolution Reconstruction, and Ag Beam Filtration

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...

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...

A Clinical Evaluation of Two Commercially Available Deep-Learning Algorithms for Automated Organs at Risk Contouring

Authors: Steven DiBiase, Gurtej S. Gill, Haohua Billy Huang, Nicholas J. Lavini, Luxshan Shanmugarajah, Salar Souri, Samantha Wong

Affiliation: Stony Brook University, Northwell Health, Cornell University, NewYork-Presbyterian, New York-Presbyterian

Abstract Preview: Purpose: Clinical applications of deep learning-based algorithms have come to the radiation oncology field as organ at risk (OAR) auto contouring programs. We evaluated two of these algorithms’ (Radfo...

A Feasible, Extendable, and Low-Cost Web-Based Application to Minimize the Second-Check Workload

Authors: William N. Duggar, Li Yuan

Affiliation: University of Mississippi Medical Center

Abstract Preview: Purpose:
Radiation Oncology departments typically utilize various systems from different vendors. Ensuring the integrity and correctness of data during transfers between these systems is essential ...

A New Algorithm for Charged Particle Therapy Beam Energy Measurement By Time-of-Flight

Authors: Sung Woon Choi, Dong Wook Kim, Jin Sung Kim, Na Hye Kwon, Paulo Jorge Ribeiro Da Fonte

Affiliation: Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Coimbra Institute of Engineering, Polytechnic University of Coimbra

Abstract Preview: Purpose: In hadrontherapy, such as proton and carbon ion therapy, it is desirable, for quality assurance reasons, to have an online beam energy measurement independent from the machine parameters. Sin...

A Novel Group-Wise Non-Rigid Iterative Closest Point Shape Registration Algorithm with Temporal Smoothness Regularizations for Computing the Respiratory Motion of the Heart in Respiratory 4DCTs and Avoiding Random Cardiac Motion Artifacts

Authors: Hongyu An, Phillip Cuculich, H Michael Gach, Yao Hao, Trevor McKeown, Clifford Robinson, Yuhao Wang, Deshan Yang

Affiliation: Washington University School of Medicine in St. Louis, Washington University School of Medicine, Duke University, Department of Radiation Oncology, Duke University, Washington University in St. Louis, Department of Radiation Oncology, Washington University School of Medicine in St. Louis

Abstract Preview: Purpose: Cardiorespiratory motion management is crucial in stereotactic arrhythmia radiotherapy to define target margins and minimize cardiac toxicity. While respiratory 4DCT (r4DCT) images can infer ...

A Python Package for GPU-Accelerated Photon Dose Calculation for Advanced and Generalizable Auto-Planning Approaches: Validation for Multiple Linear Accelerator Vendors and Institutions

Authors: Jaryd Ricardo Christie, Anthony J. Doemer, William T. Hrinivich, Junghoon Lee, Calin Reamy, Kundan S Thind

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Johns Hopkins University, Henry Ford Health

Abstract Preview: Purpose: To develop and validate an open-source Python package for fast, widely compatible, and user-friendly photon dose calculation algorithm through comparisons with clinical treatment planning sys...

A Quantitative Analysis of Hypersight CBCT Image Quality Using a Phantom-Based Approach Under Different Scatter Conditions

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...

Abdomen CT Multi-Organ Segmentation Using Multi-Granularity Feature Extraction

Authors: Zilei Fu, Yi Guo, Wanli Huo, Hongdong Liu, Laishui Lyu, Zhao Peng, Yaping Qi, Senting Wang

Affiliation: Department of Radiotherapy, cancer center, The First Affiliated Hospital of Fujian Medical University, the Zhejiang-New Zealand Joint Vision-Based Intelligent Metrology Laboratory, College of Information Engineering, China Jiliang University, Division of lonizing Radiation Metrology, National Institute of Metrology, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, China Jiliang University, Department of Oncology, Xiangya Hospital, Central South University

Abstract Preview: Purpose: Medical image boundaries are commonly characterized by smooth gray-level transitions, resulting in pixel-level segmentation errors near these blurred boundaries. To address this, we developed...

Advancing Biodosimetry with AI: Detecting Dicentric Chromosomes Using Convolutional Neural Networks

Authors: Adayabalam Balajee, Elijah Berberette, Maria Escalona, Dray Gentry, Chester R. Ramsey, Terri Ryan

Affiliation: ORAU, Thompson Proton Center, University of Tennessee

Abstract Preview: Purpose:
Dicentric chromosomes, characterized by two centromeres on a single chromosome, are key biomarkers in biological dosimetry for quantifying ionizing radiation exposure. However, manual dete...

Advancing Ionizing Radiation Acoustic Imaging: A Deep Learning Approach for Denoising and Quantitative Reconstruction

Authors: Kyle Cuneo, Issam M. El Naqa, Dale W. Litzenberg, Yiming Liu, Xueding Wang, Lise Wei, Wei Zhang, Jiaren Zou

Affiliation: University of Michigan, H. Lee Moffitt Cancer Center

Abstract Preview: Purpose: To quantitatively map 3D dose deposition during radiotherapy, empowering real-time adaptive radiation treatment.

Methods: The research features reconstructing dose deposition from acou...

An Adaptive Radiotherapy Strategy Study Based on Segmented Synthesis and Deformational Registration

Authors: Jie Hu, Zhengdong Jiang, Nan Li, Tie Lv, Yuqing Xia, Shouping Xu, Gaolong Zhang, Wei Zhao, Changyou Zhong

Affiliation: School of Physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Radiotherapy Department of Meizhou People’s Hospital (Huangtang Hospital), UT Health San Antonio, National Cancer Center/ National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, Peopleʼs Republic of China, Department of Radiation Oncology

Abstract Preview: Purpose: Patients usually undergo cone-beam computed tomography (CBCT) scans which are used for patient set-up before radiotherapy. However, the low image quality of CBCT hinders its use in adaptive r...

An Automated Solution to Staged Treatments for Arteriovenous Malformations in Gammaknife

Authors: Strahinja Stojadinovic, Robert Timmerman, Yulong Yan

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, The University of Texas Southwestern Medical Center, University of Texas Southwestern Medical Center

Abstract Preview: Purpose: Radiosurgery for large (>10cc) arteriovenous malformations (AVMs) poses significant challenges due to increased risks of complications and lower obliteration rates. To mitigate toxicity, larg...

Assessment of the Dosimetric Characteristics of Brass Mesh Bolus in Electron Radiation Therapy

Authors: Hungcheng Hank Chen, Laura A. Doyle, Helena Frisbie-Firsching, Amy S. Harrison, Jackson D Reeves, Lindsay B Romak, Jon Strasser

Affiliation: Christiana Care

Abstract Preview: Purpose: Brass mesh bolus (BMB) is a high-density woven metal mesh which is an excellent alternative to tissue equivalent bolus in photon beams, offering improved surface conformality. Unlike utilizat...

Automated Tool for Radiotherapy Initial Patient Setup: A Robust Approach Based on Vertebral Identification

Authors: Hailun Pan, Yingli Yang, Jie Zhang, Yibin Zhang

Affiliation: Department of Radiation Oncology,Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Department of Radiology, Ruijin Hospital, Department of Radiation Oncology, Ruijin Hospital, , Shanghai Jiaotong University School Of Medicine, Shanghai United imaging Healthcare Advanced Technology Research Institute

Abstract Preview: Purpose: Accurate patient positioning is critical in radiotherapy (RT) to ensure effective treatment delivery and minimize harming surrounding healthy tissues. Vertebral misalignment during RT setup h...

Automatic 4D Lung PET-CT Segmentation Using Hybrid Deep Neural Network

Authors: Hongyi Jiang, Fang-Fang Yin

Affiliation: Duke University, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose:
Imaging moving tissues using PET-CT can be difficult. Separating signal into phases during construction reduces signal count and increases influence of noise. Algorithms that use signal fr...

Backward Photon Monte Carlo Propagator (BPMCP): Proof of Concept of a Fully Physics-Driven SPECT Reconstruction

Authors: Alejandro Bertolet, Carlos Huesa-Berral, Victor V. Onecha

Affiliation: Massachusetts General Hospital and Harvard Medical School

Abstract Preview: Purpose: Radioembolization for liver tumors using 90Y microspheres uses SPECT as confirmatory dosimetry, although 90Y is a pure β-emitter, and SPECT-imaging is only available through subsequent bremss...

Breastplan-Helper: Publicly Shared Source Scripting Toolset to Assist in 3D Breast Planning

Authors: Ryan Clark, Anthony Magliari, Luis Felipe Oliveira E Silva, Yang Sheng, Jason R Vickress, Qingrong Jackie Wu, Giulianne Rivelli Rodrigues Zaratim

Affiliation: Verspeeten Family Cancer Center, Office of Medical Affairs, Varian, A Siemens Healthineers Company, Confiar Radioterapia, Duke University Medical Center

Abstract Preview: Purpose: Develop a toolset to replace several of the tedious steps required to manually generate 3D breast treatment plans using static gantry forward planned tangent beams.

Methods: Eclipse Sc...

CNN-Based Reconstruction for 3D Scintillation Dosimetry of Proton Pencil Beams

Authors: Sam Beddar, Jason Michael Holmes, Daniel G. Robertson, James J. Sohn, Ethan D. Stolen

Affiliation: Department of Radiation Oncology, Mayo Clinic, MD Anderson Cancer Center, Department of Radiation & Cellular Oncology, University of Chicago, Department of Radiation and Cellular Oncology, University of Chicago

Abstract Preview: Purpose: Camera-based scintillation dosimetry incorporating large volumes have shown promise for fast and comprehensive evaluation of external beam treatment fields. While some efforts have been made ...

Compressed Radiotherapy Treatment Planning (CompressRTP): A New Paradigm for Rapid and High-Quality Treatment Planning Optimization

Authors: Gourav Jhanwar, Mojtaba Tefagh, Masoud Zarepisheh

Affiliation: The University of Edinburgh, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose:
Radiotherapy treatment planning involves solving computationally-intensive and time-consuming optimization problems. Central to these problems is a large matrix known as the dose-influence...

Deep Learning-Based Auto-Segmentation in Cervical High-Dose-Rate Brachytherapy with Clinical Considerations

Authors: Benjamin Haibe-Kains, Ruiyan Ni, Alexandra Rink

Affiliation: Department of Medical Biophysics, University of Toronto, University Health Network

Abstract Preview: Purpose: Accurate auto-segmentation for targets and organs-at-risk (OARs) using deep learning reduces the delineating time in radiotherapy. In high-dose-rate brachytherapy, specific clinical criteria ...

Determining Optimal Delivery Pattern for Reference Dosimetry in Pencil Beam Scanning Proton Therapy

Authors: Clifford Ghee Ann Chua, Calvin Wei Yang Koh, Kah Seng Lew, Zubin Master, Sung Yong Park, Hong Qi Tan, Andrew Wibawa

Affiliation: National Cancer Centre Singapore

Abstract Preview: Purpose: To investigate the impact of spot position deviation on reference dosimetry measurements using different delivery patterns and to determine the optimal delivery pattern for reference dosimetr...

Development of Treatment Planning System for Carbon Ion Radiotherapy in Yonsei Cancer Center

Authors: Min Cheol Han, Chae-Seon Hong, Changhwan Kim, Dong Wook Kim, Hojin Kim, Jin Sung Kim, HO Lee, Sac Lee, Yongdo Yun

Affiliation: Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine

Abstract Preview: Purpose: Carbon ion radiotherapy (CIRT) offers the advantage of a greater relative biological effectiveness (RBE) weighted dose, which must be integrated into the treatment planning system (TPS). This...

Development of a Comprehensive Thoracic Re-Irradiation Database and Investigation of Time-Dependent Dose-Recovery Dynamics for Toxicity Modeling

Authors: Victoria Doss, Tsion Gebre, Rachel B. Ger, Esi A Hagan, Elaina Hales, Russell K Hales, Xun Jia, Heng Li, Dezhi Liu, Todd R. McNutt, Meti Negassa, Anas Obaideen, Tinker Trent, K. Ranh Voong, Cecilia FPM de Sousa

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University

Abstract Preview: Purpose: As cancer care advances, more patients require re-irradiation, yet evidence-based data is lacking. This study aimed to develop a thoracic re-irradiation database and explore time-dependent re...

Developments of a Low-Cost Multi-Target Winston-Lutz Phantom and Software for SRS Linac Machines

Authors: Nellie Brovold, Wenbo Gu, Huan Amanda Liu, Lin Ma

Affiliation: University of Pennsylvania, Mayo Clinic

Abstract Preview: Purpose: To develop a low-cost comprehensive QA phantom and software for single-iso multi-target SRS Linac machines. This phantom can perform 1) Winston-Lutz QA test for on-axis and off-axis targets, ...

Dosimetric Validation and Algorithmic Limitations of Pencil Beam Scanning Proton Therapy for Thin Chest-Wall Treatments

Authors: J Isabelle Choi, Meng Wei Ho, Isabel Lin, Hang Qi, Qi Zeng, Ajay Zheng

Affiliation: New York Proton Center, Scarsdale High School

Abstract Preview: Purpose: Proton therapy is a promising treatment modality for breast cancer due to its unique dosimetric advantage. Accurate dose calculation is critical to ensure effective treatment outcomes. The fo...

Dynamic X-Ray Acoustic Computed Tomography (XACT)

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...

Effects of Enhanced Leaf Modeling on Single-Isocenter Multi-Target Stereotactic Radiosurgery Dose Accuracy

Authors: Thomas R. Mazur, Kevin Renick, Matthew C. Schmidt, Xiaodong Neo Zhao

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

Abstract Preview: Purpose: To compare dose calculation accuracy for single-isocenter multi-target stereotactic radiosurgery plans (SIMT-SRS) in Eclipse V18.0 with enhanced leaf model (ELM) using the anisotropic analyti...

Estimation of Brain Tumor’s Intra-Fraction Movement during Radiosurgery Using Fiducial Markers on the Skin Surface – a Simulation Study

Authors: Damien C. Mathew, Brandon Hai Nguyen, Satwik Pani, Yoichi Watanabe

Affiliation: Minnespolis Radiation Oncology, Department of Radiation Oncology, University of Minnesota Medical School, Washington University

Abstract Preview: Purpose: To formulate a computational algorithm to quantify the tumor movement from the motion data of landmarks on the brain surface. To estimate the magnitude of tumor movement when the head makes a...

Evaluation of Four Different Dose Calculation Algorithms for Commissioning of a New Tyoe of Scanned Proton Therapy System

Authors: Nobukazu Fuwa, Masato Horita, Takahiro Kato, Ryo Tanokura, Yuki Tominaga

Affiliation: Medical Co. Hakuhokai, Osaka Proton Therapy Clinic, Central Japan International Medical Center, Department of Radiological Sciences, School of Health Sciences, Fukushima Medical University

Abstract Preview: Purpose:
We have installed a new type of scanned proton therapy system (Varian ProBeam 360°TM). This study aimed to evaluate the four different dose calculation algorithms.
Methods:
Sixteen b...

Evaluation of a Novel Multimodal Deformable Image Registration Algorithm for Pelvic MRI-CT Fusion in Radiotherapy

Authors: Christian Fiandra, Marco Fusella, Gianfranco Loi, Silvia Pesente, Lorenzo Placidi, Claudio Vecchi, Orlando Zaccaria, Stefania Zara

Affiliation: Abano Terme Hospital, University of Turin, Maggiore della Carità, Tecnologie Avanzate Srl, Fondazione Policlinico Universitario Agostino Gemelli IRCCS

Abstract Preview: Purpose: Deformable-image-registration (DIR) is essential in modern radiotherapy for adaptive RT, re-irradiation, and other clinical applications. Multimodal DIR is especially important in MRI-only wo...

Generating Brain Pseudo-CT from PET-Only Images Using Deep Learning Method

Authors: Pouya Azarbar, Nima Kasraie, Mahsa Shahrbabki Mofrad, Peyman Sheikhzadeh

Affiliation: UT Southwestern Medical Center, Shahid Beheshti University of Medical science, Imam Khomeini Hospital Complex,Tehran University of Medical Sciences, Tehran University of Medical Science

Abstract Preview: Purpose: PET imaging become crucial in diagnosing and managing various diseases, but its key limitation is the lack of detailed anatomical information. Integrating CT-scans with PET images enhances cl...

Generation of Virtual Lung PET Images from CT Data Via Deep Learning for Accelerated Tumor Detection and Preliminary Diagnosis

Authors: Pouya Azarbar, Nima Kasraie, Peyman Sheikhzadeh

Affiliation: UT Southwestern Medical Center, Shahid Beheshti University of Medical science, Imam Khomeini Hospital Complex,Tehran University of Medical Sciences

Abstract Preview: Purpose: Positron Emission Tomography (PET) is crucial for diagnosing and monitoring diseases due to its functional imaging capabilities. However, its high cost, significant radiation exposure, and li...

Improvements from Monte Carlo Simulations over Pencil Beam Algorithms for Normal Tissue Dose Reconstruction in Proton Therapy Patients

Authors: Amy Berrington de Gonzalez, Keith T Griffin, Jae Won Jung, Cari M Kitahara, Choonik Lee, Choonsik Lee, Aimee L McNamara, Matthew Mille, Harald Paganetti, Sergio Morato Rafet, Jan PO Schuemann, Jungwook Shin, Torunn I Yock

Affiliation: University of Michigan, East Carolina University, Massachusetts General Hospital, National Cancer Institute, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Massachusetts General Hospital and Harvard Medical School, Institute of Cancer Research

Abstract Preview: Purpose: Radiotherapy dose reconstruction enables retrospective epidemiological studies that connect late health effects to the organ-absorbed radiation doses received during treatment. Though clinica...

Incorporating Physicians’ Contouring Style into Auto-Segmentation of Clinical Target Volume for Post-Operative Prostate Cancer Radiotherapy Using a Language Encoder

Authors: Steve B. Jiang, Chien-Yi Liao, Dan Nguyen, Daniel Yang, Hengrui Zhao

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose:
Post-operative radiotherapy for prostate cancer requires precise contouring of the clinical target volume (CTV) to account for microscopic disease that is invisible in the image. However, ...

Investigation of a Novel Snout-Mounted Compton Camera System for Monitoring Dose Depth

Authors: Ananta Raj Chalise, Matthias K Gobbert, Hajar Moradmand, Sina Mossahebi, Stephen W. Peterson, Jerimy C. Polf, Lei Ren, Ehsan Shakeri, Vijay Raj Sharma, Jie Zhang

Affiliation: University of Maryland School of Medicine, University of Maryland Baltimore County, University of Maryland, University of Maryland, Baltimore County, University of Maryland, School of Medine, Department of Physics, University of Cape Town, M3D, Inc

Abstract Preview: Purpose: We are developing a novel Compton Camera (CC) system mounted orthogonally on the treatment nozzle for prompt gamma (PG) imaging-based proton range verification during treatment. This study in...

Moving Away from Measuring Everything - Implementing 3D Recalculation in a Large Networked Radiotherapy Institution to Replace Routine IMRT / VMAT QA

Authors: Eujin Chan, Christopher Colyer, Leon F Dunn, Jonathan Dunning, Michael Grace, Onno Kamst, Alex Livingstone, Thulani Nyathi, Vladimir Sashin, Philip Satory, Hilmar Schachenmayr, Brindha Subramanian, Lindsay J. Tremethick, Luke Webb

Affiliation: GenesisCare

Abstract Preview: Purpose: The purpose of this work is to outline the methodology and results from the implementation of a 3D recalculation software to replace IMRT/VMAT PSQA measurement across a large, networked radio...

Multimodal Data Integration with Machine Learning for Predicting PARP Inhibitor Efficacy and Prognosis in Ovarian Cancer

Authors: Qianxi Ni, Xian Xiong

Affiliation: The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University

Abstract Preview: Purpose:
Poly(ADP)-ribose polymerase inhibitors (PARPi) have brought a significant breakthrough in the maintenance treatment of ovarian cancer. However, beyond BRCA mutation/HRD, the direct impact ...

Normal Tissue Dosimetry during Intra-Cavitary HDR Brachytherapy

Authors: Palanisamy Karunanithi, Karthikeyan Perumal, Siva Subramanian Vadivel

Affiliation: Dr. Kamakshi Memorial Hospital

Abstract Preview: Purpose:
Recent advancements in high dose-rate (HDR) brachytherapy include the image guidance, new applicators, and dose calculation algorithms. Brachytherapy has steep dose gradient, hence relativ...

Numerical Study the Pharmacokinetic Model of Radiopharmaceuticals in Nuclear Medicine,a Multidisciplinary Integration Case for Computational Physics Teaching

Authors: Mingyang Han, Jia Jing, Chongming Li, Hui Lin, Zhenyu Xiong

Affiliation: School of Physics, Hefei University of Technology, Rutgers Cancer Institute of New Jersey

Abstract Preview: Purpose: To enrich the teaching case library of Computational Physics course, one of the basic courses in undergraduates majoring in physics. It is an excellent application case of Medical Physics for...

Opentps: An Open-Source Radiotherapy Treatment Planning System to Foster Research, Innovation, and Education in Medical Physics

Authors: Ana Maria Barragan Montero, Damien Dasnoy, Sylvain Deffet, Valentine Dormal, Colin Gaban, Melanie Ghislaine, Valentin Hamaide, Guillaume Janssens, John A. Lee, Eliot Peeters, Danah Pross, Luciano Rivetti, Benjamin Roberfroid, Romain Schyns, Kevin Souris, Edmond S. Sterpin, Sophie Wuyckens

Affiliation: Ion Beam Applications SA, Hospital Riviera-Chablais, UCLouvain, Multitel, Université Catholique de Louvain, IBA, Faculty of Mathematics and Physics, University of Ljubljana, Universite Catholique de Louvain

Abstract Preview: Purpose: Treatment planning systems (TPSs) are essential for simulating and optimizing radiotherapy treatments. However, clinical TPSs are expensive software commercialized by private companies and of...

Optimal Lattice Design for Spatially Fractionated Radiotherapy (SFRT) of Brain Metastasis in Gamma Knife (GK)

Authors: Brankica Andelic, Young-Bin Cho, Tara M. Gray, Andrew Robert Hadfield, Hakan Nordstrom

Affiliation: Elekta, Cleveland Clinic

Abstract Preview: Purpose: Spatially Fractionated Radiotherapy (SFRT) requires highly modulated dose distribution inside a tumor volume optimized using sets of planning structure of spheres in a lattice arrangement. To...

Parameterized 4D Deformable Registration (p4Dreg) in Abdominal 4DCT Scans

Authors: Edward Robert Criscuolo, Deshan Yang

Affiliation: Duke University, Department of Radiation Oncology, Duke University

Abstract Preview: Purpose:
Deformable registration of 4DCT images has many clinical applications, but current methods are unreliable and can produce dangerous errors. Iterative, parametrized image registration does ...

Patient-Specific Coronary Artery Habitat Model for Enhanced Cardiac Sparing

Authors: Blessing Akinro, Soumyanil Banerjee, Ming Dong, Carri K. Glide-Hurst, Prashant Nagpal, Chase Ruff, Nicholas R. Summerfield, Timothy P. Szczykutowicz

Affiliation: Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison, Departments of Radiology and Medical Physics, University Wisconsin-Madison, Department of Radiology, University of Wisconsin-Madison, Department of Computer Science, Wayne State University, Department of Human Oncology

Abstract Preview: Purpose: Radiation dose to coronary arteries (CAs) during thoracic radiotherapy (RT) is linked to cardiotoxicity. However, precise CA delineation for avoidance is limited by image quality and CA compl...

Phantom-Based Dosimetric Comparison of Multiple CT Metal Artifact Reduction Algorithms for Head-and-Neck Radiotherapy

Authors: Loren Bell, Charles S Cathcart, Brett William Eckroate, Harold Y Hu, Joshua Kilian-Meneghin, Ke Nie, Fredrick Warburton, Zhenyu Xiong, Keying (Karen) Xu, Ning J. Yue, Yin Zhang, Lili Zhou

Affiliation: RWJBarnabas Health, Basis Scottsdale, Rutgers Cancer Institute of New Jersey

Abstract Preview: Purpose: This study compares the dosimetric impact of multiple metal artifact reduction (MAR) algorithms from different CT simulator vendors using an anthropomorphic head phantom for head-and-neck (H/...

Preplanning Physics Consultation with Voxelized EQD2: A Proactive Approach for Streamlined Dose Management in High-Risk Re-Irradiation Patients

Authors: Katja M. Langen, Mark McDonald, Bill Stokes, Yinan Wang, Suk Whan (Paul) Yoon

Affiliation: Emory University, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: Effective dose management in high-risk re-irradiation (ReRT) patients entails early, detailed special physics consultation (SPC) to mitigate risks from cumulative radiation dose. SPCs have tr...

Prior-Adapted Progressive Motion-Resolved CBCT Reconstruction Using a Dynamic Reconstruction and Motion Estimation Method

Authors: Hua-Chieh Shao, You Zhang, Ruizhi Zuo

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: Cone-beam CT (CBCT) provides on-board patient anatomy for image guidance and treatment adaptation in radiotherapy. However, to compensate for respiration-induced anatomical motion, motion-res...

Real-Time 3D Dose Verification for MR-Guided Online Adaptive Radiotherapy (ART) Via Geometry-Encoded Deep Learning Framework

Authors: Steve B. Jiang, Dan Nguyen, Chenyang Shen, Fan-Chi F. Su, Jiacheng Xie, Shunyu Yan, Daniel Yang, Ying Zhang, You Zhang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, 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, The University of Texas at Dallas

Abstract Preview: Purpose: Fast dose verification is essential for the safety and efficiency of MR-guided adaptive radiotherapy (ART) as patients anxiously waiting on the treatment couch. Conventional tools often requi...

Rectangular Aperture-Based Beam Orientation Optimization for 4π Non-Coplanar Small Animal IMRT Delivery

Authors: Dante PI Capaldi, Lu Jiang, Qihui Lyu, Ke Sheng

Affiliation: Department of Radiation Oncology, University of California at San Francisco, Department of Radiation Oncology, University of California, San Francisco

Abstract Preview: Purpose:
Preclinical small animal studies help understand radiation-induced biological responses, toxicities, and mechanisms, facilitating the translation of new therapies to patient treatment. Int...

Study of PSMA-PET/MR Biomarkers for Prostate Stereotactic Radiotherapy Planning

Authors: Guillermo Daniel Alvarez, Daniel Fino, Rocio Luz Gilli, Dorian Alexander Romero

Affiliation: School Foundation of Nuclear Medicine, INTECNUS Foundation, Nuclear Medicine and Radiotherapy Center of Southern Patagonia

Abstract Preview: Purpose: To evaluate the anatomical, functional, and molecular information from PET/MR images with F18-PSMA to identify intraprostatic lesions and delineate a boost in stereotactic body radiotherapy (...

Task-Specific Deep-Neural-Network Architecture Optimization for CBCT Scatter Correction

Authors: Hoyeon Lee

Affiliation: University of Hong Kong

Abstract Preview: Purpose: Deep-learning approaches are widely investigated for Cone-Beam CT (CBCT) scatter correction to improve the quality of the linear-accelerator mounted CBCT. This study aims to optimize the deep...

Time-Resolved CBCT: A Novel Solution for Motion Management

Authors: Bulent Aydogan, Xiaochuan Pan, Erik Pearson, Zheng Zhang

Affiliation: The University of Chicago

Abstract Preview: Purpose: Motion management remains one of the significant challenges in external beam radiation therapy (RT). We are developing time-resolved cone-beam computed tomography (trCBCT) for imaging during ...

To Establish Local Diagnostic Reference Levels (DRLs) for Head and Neck Computed Tomography (CT) Exams in Abuja, Nigeria, and to Investigate the Performance of Brain Metastasis (BM) and Brain Lesion (BL) Segmentation Techniques Using U-Net Models.

Authors: Nuraddeen Nasiru Garba, Kalpana M Kanal, Abdullahi Mohammed, Rabiu Nasiru, Muhammad SHAFIU Shehu, Daniel Vergara, Joseph Everett Wishart

Affiliation: AHMADU BELLO UNIVERSITY, ZARIA, University of Washington

Abstract Preview: Purpose: To establish local Diagnostic Reference Levels (DRLs) for head and neck computed tomography (CT) exams in Abuja, Nigeria, and to investigate the performance of brain metastasis (BM) and brain...

Ultra-Sparse-View Cone-Beam CT Reconstruction Based Strictly-Structure-Preserved Deep Neural Network in Image-Guided Radiation Therapy

Authors: Guangjun Li, Ying Song, Huanan Tang, Tianxiong Wu, Qiuyi Ye, Wei Zhang

Affiliation: West China Second Hospital of Sichuan University, United Imaging Healthcare, West China Hospital of Sichuan University

Abstract Preview: Purpose:
To propose a general low-dose reconstruction model for ultra-sparse-view cone-beam CT (CBCT) and evaluate its clinical application in improving image quality and reducing radiation dose fo...