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Results for "day original": 19 found

A 3D Printed Ion Chamber Insert Solution for Absolute Dosimetry with Varying Ionisation Chambers in Radiosurgery.

Authors: Shashanksharad Kale, Gopishankar Natanasabapathi, Daya Nand Kishore Sharma

Affiliation: All India Institute of Medical Sciences (AIIMS), Department of Radiation Oncology, All India Institute of Medical Sciences

Abstract Preview: Purpose:
The study demonstrates a novel 3D printing method to fabricate an ion chamber insert (ICI) for absolute dosimetry purpose in gamma knife radiosurgery (GKRS).
Methods:
Our institute u...

A Self-Supervised Deep Learning Approach for Automatic Identification and Metal Artifact Reduction in Cone-Beam CT for Brachytherapy

Authors: Rani Anne', Wenchao Cao, Yingxuan Chen, Wookjin Choi, Firas Mourtada, Yevgeniy Vinogradskiy

Affiliation: Thomas Jefferson University

Abstract Preview: Purpose: In-room mobile cone-beam CT (CBCT) is emerging to enhance high-dose-rate (HDR) brachytherapy workflow using on-demand imaging. However, metal artifacts from X-ray markers inside gynecological...

Diffusion Model-Based Motion Correction in Portable Computed Tomography for Brain: Human Observer Study

Authors: Rajiv Gupta, Rehab Naeem Khalid, Min Lang, Michael H Lev, Quirin Strotzer, Matthew Tivnan, Maryam Vejdani-Jahromi, Dufan Wu, Siyeop Yoon, Chen Zhennong

Affiliation: Massachusetts General Hospital

Abstract Preview: Purpose: Patient motion is a major source of artifacts in portable brain CT due to the slow scanning speed. A diffusion model was developed to reduce these motion artifacts. This work aims to assess t...

Dosimetric Impact of Auto-Segmentation with Replanning: An Analysis of a Prospective Clinical Trial

Authors: Kathryn J. Dess, Martha M. Matuszak, Dan Polan

Affiliation: University of Michigan

Abstract Preview: Purpose: A recent survey demonstrated 18 of 20 top academic institutions have implemented auto-segmentation. Studies to date have focused on geometric contour changes and dosimetric differences using ...

Dual-Branch Attention-Driven Network for Enhanced Sparse-View CBCT Reconstruction Using Planning CT As Prior Knowledge

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 ...

Evaluation of Potential Dosimetric Risks from Intra-Fractional Motion in Single-Isocenter Stereotactic Radiosurgery

Authors: Brian D. Casto, Mathew Y Kang, Lichung Ku, Samuel J Wang, Joseph B. Ying, Walker Ray Zimmerman

Affiliation: Salem Health Cancer Center, Salem Health

Abstract Preview: Purpose: Varian HyperArc is an advanced radiotherapy module designed to efficiently deliver high-quality multi-target stereotactic radiosurgery (SRS) treatment plans on Varian linacs. However, the int...

Head and Neck Treatment Evaluation with Cone Beam Computed Tomotherapy

Authors: Varsha Jain, Jun Kang, Paul Sulivan, Kate E. Verma, Yevgeniy Vinogradskiy

Affiliation: Thomas Jefferson University

Abstract Preview: Purpose:
Patients undergoing treatment for head and neck(H&N) cancers experience significant body contour changes throughout treatment. Body contour changes are due to tumor shrinkage, weight loss,...

Hypersight-Archer Study: Improved Target Coverage and Organ-at-Risk Sparing Via Adaptive Radiotherapy of Head and Neck Cancer Using Direct-Dose Calculation on Cone Beam CT

Authors: Cheryl Anderson, Lara Best, Amanda Cherpak, Jennifer DeGiobbi, Marc C. LeBlanc, R. Lee MacDonald, Peter R. Martin, Natasha McMaster, Murali Rajaraman, James L. Robar, Lucy Ward, Derek Wilke, Kenny Zhan

Affiliation: Department of Radiation Oncology, QE2 Cancer Centre, Nova Scotia Health

Abstract Preview: Purpose: This work investigates the potential benefit of adaptive planning using the Ethos radiotherapy system (Varian Medical Systems) with direct-dose calculation on HyperSight cone beam CT (CBCT) f...

Image Quality Enhancement for Transrectal Ultrasound Imaging of Prostate Brachytherapy Using Deep Learning: A Needle Eraser

Authors: Hilary P Bagshaw, Mark K Buyyounouski, Serdar Charyyev, Xianjin Dai, PhD, Yu Gao, Thomas R. Niedermayr, Lei Xing

Affiliation: Department of Radiation Oncology, Stanford University

Abstract Preview: Purpose: Real-time transrectal ultrasound imaging is the gold standard for needle placement and treatment planning of real-time based-ultrasound-based high dose-rate (HDR) prostate brachytherapy. Cumu...

Impact of Serial Passage on Radiation Response and Angiogenic Activity in Head and Neck Cancer Patient-Derived Xenografts

Authors: Liliana Berube, Randall J Kimple, Kwangok P Nickel, Hannah Sondreal

Affiliation: UW Madison

Abstract Preview: Purpose: The fidelity of patient-derived xenografts (PDXs) is crucial for their application in translational research, as it ensures that these models accurately retain the properties of the original ...

Moving Towards Independent Assays of 90y Glass Microsphere Activity: Monte Carlo Simulation with Experimental Data

Authors: Mercy Iyabode Akerele, Yuni K. Dewaraja, Richard Laforest, Justin K. Mikell, Wendy Siman, Allan Thomas, Daniel Thorek

Affiliation: University of Michigan, Washington University School of Medicine in St. Louis, Washington University School of Medicine, University of Colorado Anschutz Medical Campus, School of Medicine, Washington University in St. Louis, Mallinckrodt Institute of Radiology, Washington University School of Medicine

Abstract Preview: Purpose: Post-therapy quantitative 90Y SPECT and PET measurements show ~25% lower activity than vendor-reported values for glass microspheres. We hypothesize this discrepancy is due to bremsstrahlung ...

Patient-Specific Deep Reinforcement Learning Framework for Automatic Replanning in Proton Therapy for Head-and-Neck Cancer

Authors: Malvern Madondo, Mark McDonald, Zhen Tian, Christopher Valdes, Ralph Weichselbaum, Xiaofeng Yang, David Yu, Jun Zhou

Affiliation: Department of Radiation & Cellular Oncology, University of Chicago, University of Chicago, Emory University, Department of Radiology, University of Chicago, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: Head-and-neck (HN) cancer patients often experience significant anatomical changes during treatment course. Proton therapy, particularly intensity-modulated proton therapy (IMPT), is sensitiv...

Predicting Elective Pelvic Nodal Volumes with Deep Learning: A Tool to Facilitate Peer Review

Authors: Brian M. Anderson, Shiva K. Das, Meagan Foster, Anirudh Karunaker, Lawrence B. Marks, Lukasz Mazur, Michael Repka

Affiliation: UNC Chapel HIll, University of North Carolina at Chapel Hill, UNC School of Medicine, University of North Carolina

Abstract Preview: Purpose: Development of a peer review segmentation check system to identify deviations in physician contours of standard risk pelvic lymph nodes in patients receiving radiation therapy for prostate an...

Prostate SBRT Motion Study and PTV Margin Evaluation with Exactrac Fiducial Tracking

Authors: Ahmad K. Al-Basheer, Andrew Clarke Grice, Kelly E. Hosier, Mark Logsdon, Evan A. Silverstein, Chris Tunnicliff, Chuan Wu

Affiliation: Sutter Medical Foundation, Sutter Health

Abstract Preview: Purpose: For Prostate SBRT Boost treatments, determine whether a uniform 2mm CTV to PTV margin is sufficient to give 95% dose coverage to the CTV in 90% of patients via a modified Van Herk Margin Form...

Simultaneous Motion Estimation and Image Reconstruction with Spatiotemporal Implicit Neural Representation Initial (STINR-SMEIR) for Gas Bubble Motion Artifact Reduction in on-Board CBCT Imaging

Authors: Hua-Chieh Shao, Shanshan Tang, Jing Wang, Kai Wang, You 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, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Department of Radiation Oncology, University of Maryland Medical Center

Abstract Preview: Purpose: Artifacts caused by gas bubble movement in the gastrointestinal tract can severely degrade the image quality of on-board abdominal cone-beam computed tomography (CBCT), impacting its utility ...

Streamlining Quad-Shot Radiotherapy: Automated Workflow Enables Same-Day Treatment for Palliative Lung Cancer

Authors: Laura I. Cervino, Sharif Elguindi, Yu-Chi Hu, Licheng Kuo, Xiaoning Liu, Jennifer Ma, Pengpeng Zhang

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

Abstract Preview: Purpose:
Quad-shot radiotherapy (QSRT) is an emerging paradigm in palliative cancer treatment. This study aimed to streamline the QSRT workflow using automation to improve efficiency while maintain...

The Development of a Novel Biomechanical Model for Accurate Contour Deformation during Online Adaptative Metastatic Bone Cancer Radiotherapy Planning.

Authors: Jeremy S. Bredfeldt, Benito De Celis Alonso, Braian Adair Maldonado Luna, Kevin M. Moerman, Gerardo Uriel Perez Rojas, René Eduardo Rodríguez-Pérez, Kamal Singhrao

Affiliation: Department of Radiation Oncology, Brigham and Women's Hospital, Harvard Medical School, Department of Radiation Oncology, Brigham and Women's Hospital, Dana Farber Cancer Institute, Harvard Medical School, Department of Mechanical Engineering, University of Galway, Faculty of Physics and Mathematics, Benemérita Universidad Autónoma de Puebla

Abstract Preview: Purpose: Online adaptive radiotherapy replanning for single-isocenter bone cancer metastasis treatment reduces on-table treatment time and patient discomfort compared to the multi-isocenter standard-o...

Using a Generative Adversarial Network (GAN) for Source Particle Generation in Monte Carlo Radiation Therapy Simulations

Authors: Jiankui Yuan, Dandan Zheng, Tingliang Zhuang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, University of Rochester, Varian Medical Systems, Advanced Oncology Solutions

Abstract Preview: Purpose: In Monte Carlo (MC) radiation therapy dose calculations, latent variance exists when directly applying phase-space files (PSF) with a finite number of source particles, while the latter is pr...

Validation of an Open Source Automatic Segmentation Tool for Personalized Dosimetry

Authors: Klaus Bacher, Louise D'hondt, Jeff Rutten, Gwenny Verfaillie

Affiliation: Ghent University

Abstract Preview: Purpose: Manual organ segmentation is a very time-consuming but necessary process in personalized dosimetry. Automatic segmentation tools may alleviate this task. In this study the impact of automatic...