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Results for "essential enhance": 28 found

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 ...

Advancing Thoracic Synthetic CT Images with Enhanced Cyclegan for Adaptive Radiotherapy Applications

Authors: Silambarasan Anbumani, Nicolette O'Connell, Eenas A. Omari, Amanda Pan, Eric S. Paulson, Lindsay Puckett, Monica E. Shukla, Dan Thill, Jiaofeng Xu

Affiliation: Elekta Inc, Elekta Limited, Linac House, Department of Radiation Oncology, Medical College of Wisconsin

Abstract Preview: Purpose: Accurate electron density information from on-board imaging is essential for direct dose calculations in adaptive radiotherapy (ART). This study evaluates a deep learning model for thoracic s...

Auto-Contouring of OAR Enhances Patient Safety and Workflow in Gamma Knife Stereotactic Radiosurgery

Authors: Sven Ferguson, S. Murty Goddu, Ana Heermann, Taeho Kim, Nels C. Knutson, Hugh HC Lee, Shanti Marasini, Timothy Mitchell, Seungjong Oh, Kevin Renick

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

Abstract Preview: Purpose: In the Gamma Knife stereotactic radiosurgery (GK-SRS), the delineation of organs-at-risks (OARs) was not fully automated. Due to the cumbersome nature of manual OAR contouring, dose evaluatio...

Comparative Analysis of Quantum-Classical Hybrid and Traditional Deep Learning Approaches for Chest X-Ray Image Classification

Authors: Ji Hye Han, Yookyung Kim, Jang-Hoon Oh, Heesoon Sheen, Han-Back Shin

Affiliation: Ewha Womans university, Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, High-Energy Physics Center, Chung-Ang Universit, Ewha Womans University, Kyung Hee University Hospital

Abstract Preview: Purpose: Chest X-rays are critical for diagnosing conditions such as pneumonia, tuberculosis, and COVID-19. Although deep learning (DL) approaches, especially convolutional neural networks, have signi...

Cross-Slice Attention for Unsupervised 3D Pelvic CBCT to CT Translation

Authors: Xu Chen, Jun Lian, Yunkui Pang, Pew-Thian Yap

Affiliation: University of North Carolina at Chapel Hill, Huaqiao University

Abstract Preview: Purpose: Unsupervised CBCT-to-CT translation in the pelvic region is essential for accurate radiotherapy delivery and adaptive image-guided interventions. However, current models for cross-modality tr...

Deep Learning-Based Categorization of Brain Tumours Using Brain MRI : Advancing Precision Medicine in Neuroimaging

Authors: William F.B Igoniye, Belema Manuel, Christopher F. Njeh, O Ray-offor

Affiliation: Indiana University School of Medicine, Department of Radiation Oncology, Department of Radiology, University of Port Harcourt Teaching Hospital

Abstract Preview: Purpose: The accurate and efficient categorization of brain tumors is essential for effective treatment planning and improved patient outcomes. Current MRI-based diagnostic methods are time-intensive ...

Dual-Domain Neural Network Cone-Beam CT Correction for Online Adaptive Proton Therapy

Authors: Daniel H. Bushe, Arthur Lalonde, Hoyeon Lee, Harald Paganetti, Brian Winey

Affiliation: Universite de Montreal, Massachusetts General Hospital, Massachusetts General Hospital and Harvard Medical School, University of Hong Kong

Abstract Preview: Purpose: Improving the precision and fidelity of daily volumetric imaging is essential for enabling adaptive proton therapy (APT). While cone-beam CT (CBCT) provides daily volumetric imaging, their ut...

Dual-Domain Reconstruction Network for Nonstop Gated CBCT Imaging: Application in Respiratory Gating Ablative Radiotherapy for Pancreatic Cancer

Authors: Sean L. Berry, Weixing Cai, Laura I. Cervino, Yabo Fu, Daphna Gelblum, Wendy B. Harris, Xiuxiu He, Licheng Kuo, Tianfang Li, Xiang Li, Jean M. Moran, Boris Mueller, Huiqiao Xie, Mitchell Yu, Hao Zhang

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

Abstract Preview: Purpose: Gating ablative radiotherapy for pancreatic cancer accounts for tumor movement due to respiration and typically requires 5, 15, or 25 fractions. Pretreatment imaging verification is essential...

Enhanced Pelvic Organ Segmentation Using LLM-Driven Prompts for Prostate Cancer Low-Dose-Rate Brachytherapy

Authors: Yang Lei, Tian Liu, Ren-Dih Sheu, Meysam Tavakoli, Jing Wang, Kaida Yang, Jiahan Zhang

Affiliation: Icahn School of Medicine at Mount Sinai, Department of Radiation Oncology, Emory University

Abstract Preview: Purpose:
The study aimed to improve target and organ at risk (OAR) segmentation in low-dose-rate brachytherapy (LDR-BT) for prostate cancer treatment, by integrating clinical guidelines into deep l...

Enhanced Prognostic Modeling for Clear Cell Renal Cell Carcinoma Via Multi-Omics Model and Computational Pathology Foundation Model Integration

Authors: James Brugarolas, Meixu Chen, Raquibul Hannan, Payal Kapur, Jing Wang, Kai Wang

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

Abstract Preview: Purpose: Accurate prognosis of clear cell renal cell carcinoma (ccRCC) is essential for guiding personalized treatment planning. In this study, we present a multi-modal ensemble model (MMEM) that inte...

Enhanced Surface Dose Accuracy in Proton Treatment Planning: Optimizing External Volume HU Thresholding.

Authors: Michael Butkus, Camilo M. Correa Alfonso, Olga M. Dona Lemus, James Arthur Perez-Sanchez

Affiliation: University of Miami

Abstract Preview: Purpose: Accurate skin dose calculation is essential for treating superficial lesions such as those of the breast, chest wall, and scalp. Clinical treatment planning systems often rely on approximatio...

Enhancing Cyberattack Resiliency through the Radiotherapy Backup and Recovery Dashboard Tool

Authors: Yasin Abdulkadir, Justin Hink, James M. Lamb, Eric Nguyen, Justin Kyle Pijanowski, Yevgeniy Vinogradskiy

Affiliation: Department of Radiation Oncology, University of California, Los Angeles, Thomas Jefferson University

Abstract Preview: Purpose: To enhance a Radiation Oncology departmentโ€™s cyberattack resiliency using a novel software that backs-up critical radiotherapy treatment information. The software returns essential informatio...

Enhancing the CT Contrast Via Attention-Gated Contrast Enhancement Gan (AGCE-GAN)

Authors: Nan Li, Yaoying Liu, Shouping Xu, Xinlei Xu, Gaolong Zhang

Affiliation: School of Physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, School of physics, Beihang University, Beihang University, Department of Radiation Oncology

Abstract Preview: Purpose:
CT simulation is essential for radiation therapy preparation but has limitations in distinguishing lesions. Contrast-enhanced CT (CECT) improves lesion detection and characterization, but ...

From Noisy Signals to Accurate Maps: Transforming Look-Locker MRI with an Intelligent Tโ‚ Estimation

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. ...

Generalized 2D Cine Multi-Modal MRI-Based Dynamic Volumetric Reconstruction Using Motion-Aligned Implicit Neural Network with Spatial Prior Embedding

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...

Generalized Ontological Framework for CT Data Profiling and Characterization

Authors: Njood Alsaihati, Ehsan Samei, Justin B. Solomon

Affiliation: Duke University, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System

Abstract Preview: Purpose: Inconsistent imaging procedure naming across and within institutions challenges clinical decision-making, quality assessment, and data analysis in radiology. For example, The American College...

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...

Impact of Tumor-to-Normal Ratio and Glass Microsphere Particle Density on Local Progression-Free Survival Following Lobar Yttrium-90 Radioembolization

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...

Innovative Workflow for Enhanced in-Vivo Dosimetry Using Gafchromic Film

Authors: Salim Balik, Nguyen Phuong Dang, Hualin Zhang

Affiliation: Radiation Oncology, Keck School of Medicine of USC

Abstract Preview: Purpose: An accurate and convenient monitoring of radiation dose delivery during treatment is essential for ensuring patient safety and treatment efficacy. This project aims to develop innovative algo...

Intraoperative Dynamic Contrast-Enhanced Fluorescence Imaging in Quantifying Tissue Perfusion of Amputation Patients

Authors: Logan M. Bateman, Xu Cao, Jonathan T. Elliott, Lillian A. Fisher, Ida Leah Gitajn, Xinyue Han, Eric R. Henderson, Shudong Jiang, Jessica M. Sin, Yue Tang

Affiliation: Dartmouth College, Dartmouth-Hitchcock Medical Center

Abstract Preview: Purpose: Adequate tissue perfusion is essential for fracture healing and infection prevention, as it supplies oxygen, nutrients and antibiotics to the injury area. However, current methods of assessin...

Mechanistical Modeling of Radiation Response of Parotid in Head and Neck Cancer Radiotherapy

Authors: Rachel B. Ger, Xun Jia, Youfang Lai, Todd R. McNutt, Xingyi Zhao

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

Abstract Preview: Purpose: Radiotherapy (RT) plays an essential role for head and neck (HN) cancer treatment but often results in xerostomia due to salivary gland damage. It is important to mechanistically model the ra...

Oncoflat: Automated 3D-to-2D Bolus Unfolding Tool for Radiation Therapy

Authors: Jeonghoon Park, Amritha Praveen, Siddhant Sen, James J. Sohn, Ethan D. Stolen

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Department of Radiation & Cellular Oncology, University of Chicago, Department of Radiation and Cellular Oncology, The University of Chicago, Department of Radiation and Cellular Oncology, University of Chicago, Department of Psychology, University of Illinois Urbana-Champaign

Abstract Preview: Purpose: Accurate fabrication of custom boluses is essential in radiation therapy to enhance dose delivery to superficial tumors, especially in anatomically complex regions. This study introduces a no...

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, Universitรฉ 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...

Patient Education through Virtual Reality: Project Development

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...

Prior-Model-Free Dynamic CBCT Reconstruction Via Combined Optical Surface and X-Ray Imaging

Authors: Hua-Chieh Shao, Guoping Xu, You Zhang, Tingliang Zhuang

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:
Advancements in onboard X-ray hardware allow high-quality CBCT imaging with a short scan time (~6s for Varian HyperSight), enabling CBCT-based dose calculation and treatment planning. Howe...

Strengthening the Pipeline to Careers in Medical Physics

Authors: Jessica Fagerstrom

Affiliation: University of Washington

Abstract Preview: Purpose:
To explore how interdisciplinary partnerships between physics educators and medical physicists can enhance student preparation for careers in medical physics by integrating applied medical...

The Role of AI-Based Analysis in Segmenting Sealing Zones and Tissue Characterization

Authors: Sara Allievi, Stefano Bonvini, Gloria Miori, Laura Orsingher, Andrea Passerini, Igor Raunig, Daniele Ravanelli, Erich Robbi, Annalisa Trianni

Affiliation: Department of Information Engineering and Computer Science, University of Trento, Vascular Surgery Department, S.Chiara Hospital, APSS, Medical Physics Department, S.Chiara Hospital, APSS

Abstract Preview: Purpose:
This study evaluates the performance of an AI-driven tool in segmenting and analyzing tissue composition in abdominal aortic aneurysm (AAA) patients, specifically focusing on the sealing z...

Weakly Supervised Spatial Implicit Neural Representation Learning for 3D MRI-Ultrasound Deformable Image Registration in HDR Prostate Brachytherapy

Authors: Michael Baine, Yang Lei, Yu Lei, Ruirui Liu, Tian Liu, Jing Wang

Affiliation: Icahn School of Medicine at Mount Sinai, University of Nebraska Medical Center

Abstract Preview: Purpose: Accurate 3D deformable registration of MRI and ultrasound (US) is essential for real-time image guidance during high-dose-rate (HDR) prostate brachytherapy. However, MRI-US registration of th...