Search Submissions 🔎

Results for "liver kidney": 26 found

A Framework for Automated Selection of Dose-Volume Objectives to Improve Radiation-Induced Immune Suppression (RIIS)-Related Overall Survival (OS) Following Chemo-Radiotherapy

Authors: Gabriel Lucas Andrade de Sousa, Einsley-Marie Janowski, Cam Nguyen, Krishni Wijesooriya

Affiliation: Department of Radiation Oncology, University of Virginia, Department of Physics, University of Virginia

Abstract Preview: Purpose: Optimizing radiation therapy (RT) to spare the immune system may improve Overall Survival (OS) in cancer patients. This study develops a computational algorithm to identify optimal dose-volum...

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...

An Efficient Workflow for X-Ray Imaging-Based IGRT/ART

Authors: Lili Chen, Ahmed A. Eldib, Chang Ming Charlie Ma

Affiliation: Fox Chase Cancer Center

Abstract Preview: Purpose: Specialized adaptive radiotherapy (ART) systems have been developed and clinically implemented, which are either cost-ineffective such as MR-linacs or inflexible in workflow such as the Ethos...

Analysis of Inter-Organ Noise Variability for Clinical CT Images across 3133 Image Series

Authors: Lavsen Dahal, Francesco Ria, Ehsan Samei, Justin B. Solomon, Liesbeth Vancoillie, Yakun Zhang

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

Abstract Preview: Purpose: Clinical diagnostic task-based optimization of CT procedures require precise and organ-specific assessments. This study investigates inter-organ noise variability to highlight the limitations...

Automated Full-Body Tumor Segmentation from PET/CT Images

Authors: Austin Castelo, Xinru Chen, Caroline Chung, Laurence Edward Court, Jaganathan A Parameshwaran, Zhan Xu, Jinzhong Yang, Yao Zhao

Affiliation: The University of Texas MD Anderson Cancer Center, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose:
To develop a deep learning-based segmentation model to automatically delineate tumors from full-body PET/CT images.
Methods:
PET/CT image pairs of 91 patients were collected for this...

Clinical Validation of a Deep-Learning Segmentation Tool for Head and Neck Cancer Patients and Thoracic and Abdominal Cancer Patients

Authors: Haijian Chen, Katja M. Langen, William Andrew LePain, Claire Tran, Mingyao Zhu

Affiliation: Emory Healthcare, Emory University, Georgia Institute of Technology

Abstract Preview: Purpose: To validate the performance of a commercial deep-learning segmentation (DLS) tool for head and neck cancer (HNC) and thoracic and abdominal cancer (TAC) by comparing it to manual segmentation...

Comparative Analysis of Soft Tissues and 3D Printing Materials Using Euclidean Distance for Linear Attenuation Coefficient

Authors: Gisell Ruiz Boiset, Paulo ROBERTO Costa, Elsa Bifano Pimenta

Affiliation: University of São Paulo (USP), Institute of Physics

Abstract Preview: Purpose: This study evaluates the similarity between the linear attenuation coefficients of soft tissues and 3D printing materials in diagnostic imaging range using the Euclidean distance approach.

Comparison of Respiratory Motion between 4D-MR and 4D-CT in Compression Belt Patients

Authors: Morgan Aire, Krystal M. Kirby, Olivia Magneson, David E. Solis, Hamlet Spears

Affiliation: Louisiana State University, Mary Bird Perkins Cancer Center

Abstract Preview: Purpose: This study evaluates the range of motion of abdominal organs using 4D stack-of-stars magnetic resonance (MR) imaging and 4D computed tomography (CT), the current clinical standard. Accurate o...

Cumulative Doses in Radiotherapy Treatment of Lymphoma Patients

Authors: Klaus Bacher, Tom Boterberg, Jeff Rutten, Barbara Vanderstraeten, Gwenny Verfaillie, Sarah Waelkens

Affiliation: Ghent University, Ghent University Hospital

Abstract Preview: Purpose: Lymphoma cancer patients frequently receive ionizing radiation during their treatment trajectory, including diagnostic CT, planning CT (pCT), recurrent CBCTs, radiotherapy (out-of-field) dose...

Data-Driven Gating in Ga-68 PET/CT: Impacts on Patient Selection and Dosimetry Predictions in Radiopharmaceutical Therapy

Authors: Zhuo Chen, Tinsu Pan, Allan Thomas

Affiliation: Mallinckrodt Institute of Radiology, Washington University School of Medicine, WashU Medicine, UT MD Anderson Cancer Center

Abstract Preview: Purpose: Misregistration between data-driven gated (DDG)-PET and CT can limit the benefits of motion correction and improved localization and quantitation. DDG-CT offers a solution to these issues. He...

Deep Learning-Based Multileaf Collimator Sequence Prediction for Automated VMAT Treatment Planning in Pancreatic Cancer

Authors: Zixu Guan, Takahiro Iwai, Takashi Mizowaki, Mitsuhiro Nakamura, Michio Yoshimura

Affiliation: Kyoto University, Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University

Abstract Preview: Purpose:
The goal of this study is to develop a fully automated treatment planning approach for VMAT in pancreatic cancer that can convert patient anatomy into LINAC machine parameters. In this wor...

Evaluating Commercial Auto-Segmentation Software: Is Performance on Pediatric Organs-at-Risk Accurate?

Authors: Gregory T. Armstrong, James E. Bates, Lei Dong, Ralph Ermoian, Jie Fu, Christine Hill-Kayser, Rebecca M. Howell, Sharareh Koufigar, John T. Lucas, Thomas E. Merchant, Tucker J. Netherton, Sogand Sadeghi

Affiliation: Department of Radiation Oncology, University of Washington and Fred Hutchinson Cancer Center, Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital, St. Jude Children's Research Hospital, Department of Radiation Oncology, Fred Hutchinson Cancer Center, University of Washington, Department of Radiation Oncology, St. Jude Children’s Research Hospital, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, University of Washington/ Fred Hutchinson Cancer Center, Department of Radiation Oncology, University of Pennsylvania, University of Pennsylvania, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: This study evaluates the adaptability and limitations of commercially available (MIM, RayStation) tools trained on predominately adult datasets (ages 20–60+ years) for delineating organs at r...

Evaluating Deep Learning Models for Accurate Segmentation of GTV and Oars in MR-Guided Adaptive Radiotherapy for Pancreatic Cancer

Authors: Christopher G. Ainsley, Pradeep Bhetwal, Yingxuan Chen, Wookjin Choi, Vimal K. Desai, Karen E. Mooney, Adam Mueller, Hamidreza Nourzadeh, Yevgeniy Vinogradskiy, Maria Werner-Wasik

Affiliation: Thomas Jefferson University

Abstract Preview: Purpose: MR-guided adaptive radiotherapy (MRgART) has demonstrated improved outcomes for patients with pancreatic cancer. However, the time-consuming re-segmentation of targets and organs-at-risk (OAR...

Evaluating Necessity of Patient-Specific Deep Learning-Based Auto-Segmentation for Improved Adaptation for Abdominal Tumors

Authors: Asma Amjad, Renae Conlin, Eric S. Paulson, Christina M. Sarosiek

Affiliation: Department of Radiation Oncology, Medical College of Wisconsin

Abstract Preview: Purpose: In an effort to improve contouring accuracy for abdominal MR guided online adaptive radiotherapy (MRgOART), patient-specific deep learning-based auto-segmentation (PS-DLAS) has been proposed....

Evaluating the Radiological Safety of 64Cu-Macrin in PET/MRI Studies through Radiopharmaceutical Dosimetry

Authors: Alejandro Bertolet, Mislav Bobić, Carlos Huesa-Berral, Aileen O'Shea, Ralph Weissleder

Affiliation: Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital and Harvard Medical School

Abstract Preview: Purpose: To develop a pipeline for estimating the absorbed dose to various organs from positron emission tomography (PET) combined with magnetic resonance imaging (MRI). We use this pipeline to evalua...

Intra-Organ Blood Vessel Mapping in Mice for Improved Pre-Clinical Radiation Dosimetry

Authors: Daylin Barroso, Chris Beekman, Wesley E. Bolch, Natalia Estefania Carrasco-Rojas, Robert Joseph Dawson, Walter Murfee, Harald Paganetti, Andrew Robert Sforza, Julia D. Withrow

Affiliation: Massachusetts General Hospital - Harvard Medical School, Massachusetts General Hospital, University of Florida

Abstract Preview: Purpose: To develop methods for quantifying the interaction of radiation with blood in the mouse whole body (MOBY) phantom for dosimetric applications. The most important of these are modeling the dis...

Minimizing Abscopal Effects in Normal Tissues with Flash-RT: Mechanisms of Action and Potential Clinical Applications

Authors: Liang Cui, Xingyu Lu, Hang Shang, LingHong Zhou

Affiliation: Southern Medical University

Abstract Preview: Purpose: This study examines how varying dose rates of radiotherapy impact normal tissues outside the target area and analyzes the protective effects and regulatory mechanisms of ultra-high dose rate ...

Noise Sensitivity of Benchmark Whole-Body CT Segmentation Models: Totalsegmentator and Vista3D Performance on an Independent Dataset

Authors: Samuel L. Brady, Shruti Hegde, Alexander Knapp, Usman Mahmood, Joseph G. Meier, Elanchezhian Somasundaram, Zachary Taylor

Affiliation: Cincinnati Children's Hospital Medical Ctr, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Cincinnati Children's Hospital Medical Center, Cincinnati Childrens Hospital Med Ctr

Abstract Preview: Purpose:
To assess how two benchmark multi-organ CT segmentation models respond to varying image noise levels.
Methods:
This study utilized the pediatric CT dataset from The Cancer Imaging Ar...

Optimal Choice of Companion Radiotracer for TAT 225Ac-Mti-201.

Authors: Vinay K Banka, Mikalai Budzevich, William R. Gibbons, Mark L. McLaughlin, Jacob Moriarty, Eduardo G. Moros, David L. Morse, Christopher J. Tichacek, Thad J. Wadas

Affiliation: Modulation Therapeutics Inc, Moffitt Cancer Center, University of Iowa

Abstract Preview: Purpose: A targeted alpha therapy drug, 225Ac-MTI-201, has been developed targeting the Melanocortin 1 Receptor for metastatic uveal melanoma and is currently in FIH clinical trials. Since alpha emiss...

Performance Comparison of Artificial Intelligence-Based Auto-Segmentation Software on Pediatric CT Image Datasets for the Creation of Patient Specific Computational Phantoms

Authors: Wesley E. Bolch, Emily L. Marshall, Dhanashree Rajderkar, Wyatt Smither

Affiliation: University of Florida

Abstract Preview: Purpose: To determine the accuracy of TotalSegmentator, an AI-based automatic segmentation toolkit, on pediatric CT scans as the original software was trained on adult image datasets with a mean patie...

Preclinical Assessment of 68ga-Dotatate As a Surrogate for 177lu-Dotatate Dose Distribution in Radionuclide Therapy

Authors: Payman Hejazi, Faraz Kalantari, Milad Peer-Firozjaei, Romina Pourhashem, Ehsan Tajikmansoury

Affiliation: Department of Radiobiology and Medical Physics, Babol University of Medical Sciences, Department of Radiation Oncology, University of Arkansas for Medical Sciences (UAMS), Department of Medical Physics, Semnan University of Medical Sciences, Department of Medical Physics, Semnan University of Medical Sciences, Semnan, Iran, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine

Abstract Preview: Purpose:
Pretreatment biodistribution imaging play a crucial role in optimizing tumors and organ absorbed doses estimation in radionuclide therapy. Surrogating radionuclides for more efficient trea...

Preclinical Assessment of Novel Targeted Chelate-Based Radiopharmaceuticals for Aggressive Cancer Detection

Authors: David Alcorta, Joseph Farina, Timothy Haystead, Yiping He, Philip Hughes, David Loiselle, Marybeth Nedrud, Victoria J. P. Radosova, Jianpeng Yu

Affiliation: Duke University Department of Pharmacology and Cancer Biology, Medical Physics Graduate Program, Duke University, Duke University Department of Medicine, Duke University, Duke University Pharmacology and Cancer Biology, Duke University School of Medicine, Duke Cancer Institute

Abstract Preview: Purpose: Targeted radiopharmaceuticals have become of widespread interest in the scientific community given their ability to detect and treat metastatic disease. We aim to validate the use of novel ch...

Prospective Organ-Level Dose Estimation in CT Imaging Using Scout-Net: A Comparison with Established Methods

Authors: Maria Jose Medrano, Grant Stevens, Liyan Sun, Justin Ruey Tse, Adam S. Wang, Sen Wang

Affiliation: Department of Radiology, Stanford University, GE HealthCare, Stanford University

Abstract Preview: Purpose: Patient exposure to ionizing radiation is a major concern in CT imaging. Size-specific dose estimation methods can prospectively estimate organ-level radiation doses based on patient sizes an...

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...

Using Multi-Peak Reconstructions for Dosimetry of Fast and Quantitative Lutetium-177 SPECT/CT

Authors: Julia Brosch-Lenz, Munir Ghesani, Francesc Massanes, Michael Morris, Babak Saboury, Eliot Siegel, Alexander Hans Vija

Affiliation: Institute of Nuclear Medicine, Siemens Medical Solutions USA Inc., Molecular Imaging

Abstract Preview: Purpose: Quantitative imaging of the radiopharmaceutical distribution is crucial for treatment evaluation and dosimetry. However, as patient numbers for Lutetium-177-(177Lu)-labelled therapies continu...

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...