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Results for "contrast scans": 78 found

12 Year Clinical Experience with Low-Tesla MRI for Tumor Progression

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:
Low-Tesla MRI (0.23T Panorama MR Scanner, Philips) has been used for tumor progression during proton therapy treatments, and for initial contouring in addition to diagnostic MRI. The pulse...

3D Wideband Late Gadolinium-Enhanced MRI for Radiotherapy of Ventricular Tachycardia: A Preliminary Study in Healthy Participants and Patient

Authors: Arash Bedayat, Jason Bradfield, Minsong Cao, Robert K Chin, Huiming Dong, J Paul Finn, Fei Han, Justin Hayase, Shu-Fu Shih, Xiaodong Zhong

Affiliation: Cardiac Electrophysiology, University of California, Los Angeles, Department of Radiation Oncology, University of California, Los Angeles, Department of Radiology, University of California, Los Angeles, Siemens Healthineers

Abstract Preview: Purpose: Cardiac SBRT is a promising treatment for ventricular tachycardia (VT). Success depends on accurate target delineation, for which 2D narrowband late gadolinium-enhanced (LGE) MRI offers valua...

4DCT Contrast Protocol for Cardiac Radioablation

Authors: Jeremy S. Bredfeldt, Cindy I. Hancox, Arianna Liles, Alex Marques, Usha Tedrow

Affiliation: Department of Cardiology, Brigham and Women's Hospital, Harvard Medical School, Department of Radiation Oncology, Brigham and Women's Hospital, Harvard Medical School

Abstract Preview: Purpose: Ventricular tachycardia (VT) can be treated using cardiac radioablation. 4DCT simulation is commonly used, however, contrast injection timing is challenging. This study aimed to develop a pro...

A Comparative Study of Hypersight and Truebeam Cone Beam Computed Tomography Image Quality

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 quality—including noise, contrast-to-noise ratio (CNR), uniformity, and low-contrast visibility (LCV)—on the HyperSight and TrueBeam cone-beam computed tomography (CBCT) pla...

A Deep Learning Method for Direct Vmi Inference Using a Dual-Layer Radiotherapy Kv-CBCT Imager

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 Women’s 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...

A Method to Expedite Quality Assurance for Head and Neck Ctvs with Lymph Node Level Auto-Autocontouring and Identification

Authors: Beth M. Beadle, Adrian Celaya, Laurence Edward Court, David Fuentes, Anna Lee, Tze Yee Lim, Dragan Mirkovic, Amy Moreno, Raymond Mumme, Tucker J. Netherton, Callistus M. Nguyen, Jaganathan A Parameshwaran, Jack Phan, Carlos Sjogreen, Sara L. Thrower, Congjun Wang, He C. Wang, Xin Wang

Affiliation: Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center; The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Department of Radiation Oncology, Stanford University, The University of Texas MD Anderson Cancer Center, MD Anderson Cancer Center, MD Anderson, Rice University, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose: Quality assurance of target volumes from radiotherapy clinical trials is a labor and resource intensive task. The purpose of this work is to quantify the accuracy of a tool that automatically...

A Novel Linac Onboard Dual-Layer Kv Imager Provides Increased Clinical CBCT Contrast and Metal Artifact Reduction Using Virtual Monoenergetic Images

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 Women’s 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...

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...

AI-Based Registration-Free 3T T2-Weighted MRI Synthesis Using Truefisp MRI Acquired on a 0.35T MR-Linac System

Authors: Hilary P Bagshaw, Mark K Buyyounouski, Cynthia Fu-Yu Chuang, Yu Gao, Dimitre Hristov, Lianli Liu, Lawrie Skinner, Lei Xing

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

Abstract Preview: Purpose:
MR-guided radiation therapy has introduced a significant leap in cancer treatment by allowing adaptive treatment. The low-field MR-guided system predominantly uses the TrueFISP sequence, w...

Accelerated Proton Density Imaging Via T2-Guided Cyclegan Super-Resolution without Paired Low-Resolution and High-Resolution Data

Authors: Yunxiang Li, Xinlong 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) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose: Acquiring high-resolution (HR) proton density (PD) images is time-consuming, while lower-resolution (LR) PD scans are faster but can lack sufficient details. We propose CycleHR, a T2-contrast...

Advanced Daily Imaging Technology Improves Tracking of Soft Tissue Decomposition for Head and Neck Cancer Patients Receiving Radiotherapy

Authors: Robert K Chin, Klea Hoxha, Erika Jank, Jesus Juarez, Eulanca Yuka Liu, Dylan P. O'Connell, X. Sharon Qi, Ricky R Savjani

Affiliation: Department of Radiation Oncology, University of California, Los Angeles, University of California, Los Angeles, UCLA Radiation Oncology

Abstract Preview: Purpose:
Daily cone beam CT (CBCT) images are acquired prior to each radiotherapy treatment for verifying patient positioning. HyperSight is an advanced imaging solution that replaces standard CBCT...

Adversarial Diffusion-Based Self-Supervised Learning for High-Resolution MR Imaging

Authors: Zachary Buchwald, Chih-Wei Chang, Zach Eidex, Richard L.J. Qiu, Mojtaba Safari, Shansong Wang, Xiaofeng Yang, David Yu

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

Abstract Preview: Purpose: MRI offers excellent soft tissue contrast for diagnosis and treatment but suffers from long acquisition times, causing patient discomfort and motion artifacts. To accelerate MRI, supervised d...

An Optimal-Mass-Transport-Based Mathematical Model Applied to Brain DCE-MRI to Differentiate Brain Metastases Recurrence from Radiation Necrosis

Authors: Aditya P. Apte, Xinan Chen, Joseph O. Deasy, Ramesh Paudyal, Kyung Peck, Amita Shukla-Dave, Nathaniel Swinburne, Robert J. Young

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

Abstract Preview: Purpose: We apply our novel formulation of unbalanced-regularized-optimal-mass-transport (urOMT) theory to brain DCE-MRI data to quantify and visualize the behaviors of fluid flows in post-treatment f...

Analysis of the Accuracy of Avatar-Based Patient Positioning Technique for Radiation Therapy

Authors: Danna Gurari, Moyed Miften, Sarah Milgrom, Atharva Rajesh Peshkar, Willem Schreuder, David H. Thomas

Affiliation: University of Colorado Boulder, University of Colorado School of Medicine, University of Colorado Anschutz, Thomas Jefferson University

Abstract Preview: Purpose: To evaluate the accuracy of a novel avatar-based patient positioning technique.

Methods: We developed a modified surface-guided radiation therapy (SGRT) technique, 'Avatar-Guided Radia...

Assessing Breast Cancer Tumor Segmentability on an Investigational, Double-Bolus, Prone-to-Supine Breast MRI Protocol for Surgical Guidance.

Authors: Richard J Barth, Brook Kennedy Byrd, Roberta DiFlorio-Alexander, Misty J Fox, Venkat Krishnaswamy, Keith D. Paulsen, Timothy B Rooney

Affiliation: Cairn Surgical Inc., Dartmouth Health, Thayer School of Engineering, Dartmouth Hitchcock Medical Center, University of Virginia Health, CairnSurgical Inc.

Abstract Preview: Purpose: Supine breast MRI enables precise surgical planning with demonstrated benefit in decreasing positive margin rates during BCS. However, acquiring supine breast MRI scans in a secondary imaging...

Assessing Low Iodine Concentrations in Liver Lesions with Dual Energy CT: Impact of Beam Choices

Authors: Xinhua Li, Vu Nguyen, Yifang (Jimmy) Zhou

Affiliation: Cedars-Sinai Medical Center

Abstract Preview: Purpose: Assessing iodine concentration in liver lesions is essential for evaluating contrast enhancement in multi-phase liver CT and for accurate disease diagnosis. This study aims to evaluate the as...

Assessing the Risks of Synthetic MRI Data in Deep Learning: A Study on U-Net Segmentation Accuracy

Authors: Chuangxin Chu, Haotian Huang, Tianhao Li, Jingyu Lu, Zhenyu Yang, Fang-Fang Yin, Tianyu Zeng, Chulong Zhang, Yujia Zheng

Affiliation: The Hong Kong Polytechnic University, Nanyang Technological University, Australian National University, Medical Physics Graduate Program, Duke Kunshan University, North China University of Technology, Duke Kunshan University

Abstract Preview: Purpose: Deep learning segmentation models, such as U-Net, rely on high-quality image-segmentation pairs for accurate predictions. However, the recent increasing use of generative networks for creatin...

Assessment of Image Quality and Dose in Dual-Energy X-Ray Imaging for Lung Tumor Tracking

Authors: Nawal Alqethami, Felix Ginzinger, Prasannakumar Palaniappan, Marco Riboldi, Philipp Steininger, Wentao Xie

Affiliation: Research & Development, medPhoton GmbH, Department of Medical Physics, Ludwig-Maximilians-Universität (LMU) Mßnchen, Department of Medical Physics, Ludwig-Maximilians-Universität Mßnchen (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...

Automated Framework for Predicting Tumour Growth in Vestibular Schwannomas Using Contrast-Enhanced T1-Weighted MRI

Authors: Mehdi Amini, Minerva Becker, Simina Chiriac, Alexandre Cusin, Dimitrios Daskalou, Ghasem Hajianfar, Sophie Neveu, Marcella Pucci, Yazdan Salimi, Pascal Senn, Habib Zaidi

Affiliation: Geneva University Hospital, Division of Radiology, Diagnostic Department, Geneva University Hospitals, Service of Otorhinolaryngology-Head and Neck Surgery, Department of Clinical Neurosciences, Geneva University Hospitals

Abstract Preview: Purpose: Personalized prediction of vestibular schwannoma (VS) tumour growth is crucial for guiding patient management decisions toward observation versus intervention. This study proposes an automate...

Brain Vessel Segmentation and Tracking in Longitudinal Glioblastoma MRI Scans

Authors: Evan Calabrese, Edward Robert Criscuolo, Deshan Yang

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

Abstract Preview: Purpose: Glioblastoma (GBM) is the most common and aggressive form of brain cancer. Deformable image registration (DIR) is a powerful tool to compute anatomical changes in longitudinal MRI scans, whic...

Breathing New Life into Pulmonary Imaging: Development and Clinical Validation of an X-Ray Interferometry System

Authors: Rachael Blair, Les Butler, Lillian Dickson, Kyungmin Ham, Charles Hartman, Kenneth (Kip) Matthews, Corinne Vanya

Affiliation: Louisiana State University, University of Minnesota, Refined Imaging LLC, Center for Advanced Microstructures and Devices

Abstract Preview: Purpose:
To develop and evaluate an x-ray interferometry system (XIS) for low-dose, high-sensitivity diagnostic imaging of lung diseases such as chronic obstructive pulmonary disease (COPD), asthma...

Can Contrast Scans of Dual-Layer Detector Spectral CT be Directly Used for Proton Dose Calculations?

Authors: Wen C. Hsi, Pouya Sabouri, Zhong Su

Affiliation: University of Arkansas for Medical Sciences, Department of Radiation Oncology, University of Arkansas for Medical Sciences (UAMS)

Abstract Preview: Purpose:
Traditional single-energy CT (SECT) contrast scans cannot be used for proton dose calculations due to significantly higher HU caused by iodine. Dual-layer dual-energy CT (DL-DECT) can dire...

Comparison of Optimized Magnetic Resonance Sequences in the Treatment Planning of Surface Brachytherapy

Authors: Ivan M. Buzurovic, Phillip M. Devlin, Evangelia Kaza, Michael John Lavelle

Affiliation: Department of Radiation Oncology, Dana-Farber/Brigham and Women’s Cancer Center, Harvard Medical School, Brigham and Women's Hospital, Harvard Medial School, Dana-Farber Cancer Institute, Department of Radiation Oncology

Abstract Preview: Purpose: Recent work in surface brachytherapy (SBT) has demonstrated the feasibility of using magnetic resonance (MR)-guidance in place of Computer Tomography (CT) in SBT planning. The purpose of this...

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...

Comparison of Ultra-High Resolution and Standard CT Imaging Modes for Small Vessel Visualization in Coronary CTA Using Photon Counting CT

Authors: Afrouz Ataei, Victor Moy, Mark P. Supanich

Affiliation: Rush University

Abstract Preview: Purpose: This study evaluates the impact of ultra-high resolution (UHR) mode on the visualization of small vessels in coronary computed tomography angiography (CTA) using a photon-counting CT scanner....

Comparitive Case Analysis of Maa Mapping and Angiographic Iodinated Contrast for Y-90 SIRT Treatment Planning

Authors: Shengwen Deng, Sven L. Gallo, Robert S. Jones, David W. Jordan, Arashdeep Kaur, Aishwarya M. Kulkarni, Quibai Li, William R.M. Pedersen

Affiliation: Department of Radiology, University Hospitals Cleveland Medical Center; School of Medicine, Case Western Reserve University, Department of Radiology, Radiation Safety, University Hospitals Cleveland Medical Center, Department of Radiology, Radiation Safety, University Hospitals Cleveland Medical Center; School of Medicine, Case Western Reserve University; Department of Radiology, Louis Stokes Cleveland VA Medical Center

Abstract Preview: Purpose:
Y-90 (Yttrium) SIRT radioembolization takes advantage of delivering localized radiation to the liver. Pre-treatment dosimetry is highly dependent on accurate MAA mapping, which may have an...

Comprehensive Evaluation of High-Performance Cone-Beam Computed Tomography on C-Arm and Ring-Gantry Linacs for Adaptive Radiation Therapy

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 ...

Contrast Volume Prediction Using CT Dose Metrics

Authors: Niki Fitousi, Anna Romanyukha, Stuart Utting

Affiliation: University Hospitals Dorset, Qaelum NV

Abstract Preview: Purpose:
For increased patient safety and with a focus on sustainability in the radiology department, efforts are being made to optimize contrast media usage. In this study, the possibility of util...

Contrast-Free Enhancement of Coronary Artery Stenosis: Synthetic Ccta from Non-Contrast CT Using Diffusion Model

Authors: Abdusalam Abdukerim

Affiliation: Institute for Medical Imaging Technology, Ruijin Hospital

Abstract Preview: Purpose:
Coronary computed tomography angiography (CCTA) is the gold-standard non-invasive test for coronary artery disease (CAD), but iodine contrast agents (ICA) pose limitations in specific popu...

Correlation between Imaging Dose and Image Quality for Hypersight CBCT

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...

Deep Learning-Based Auto Segmentation of Oars in Head and Neck Radiation Therapy

Authors: Laila A Gharzai, Bharat B Mittal, Poonam Yadav

Affiliation: Northwestern Feinberg School of Medicine, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Northwestern University Feinberg School of Medicine

Abstract Preview: Purpose: Multiple studies have shown the increasing role of deep learning in segmenting regions of interest. This work presents the feasibility of auto-segmenting the critical structures for head and ...

Deep-Learning Based Spectral Artifact Removal with In Vivo 7T Proton MRSI Data

Authors: Anke Henning, Mahrshi Jani, Tianyu Wang, Andrew Wright, Xinyu Zhang

Affiliation: Advanced Imaging Research Center (AIRC), UT Southwestern Medical Center

Abstract Preview: Purpose: Proton MRSI offers critical metabolic insights into diseased brain processes but is prone to artifacts, and current post-processing methods are often insufficient, resulting in low-quality da...

Determining the Optimal CT Tube Voltage for Imaging Bone Structures in Radiotherapy.

Authors: Mohamed Bahaaeldin Mohamed Afifi, Nahla Nagy Ahmad Ataalla, Ahmed A. Eldib

Affiliation: Fox Chase Cancer Center, Radiological Sciences and Medical Imaging Department, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University.

Abstract Preview: Purpose: Optimizing CT imaging parameters is crucial for balancing radiation dose, contrast resolution, and accurate Hounsfield unit representation, particularly in radiotherapy treatment planning. Th...

Direct Dose Verification in Liver SBRT Utilizing an Accumulative Daily CBCT Algorithm

Authors: Michael Buckstein, Yang Lei, Tian Liu, Charlotte Elizabeth Read, Jing Wang, Kaida Yang, Jiahan Zhang

Affiliation: Icahn School of Medicine at Mount Sinai

Abstract Preview: Purpose: Inter-fraction anatomic variations in liver SBRT can cause significant discrepancies between planned and delivered doses. We developed a CBCT-based accumulative algorithm to directly compare ...

Do We Need Pediatric-Specific Models for Radiotherapy Auto-Contouring? a Comparative Study of Pediatric and Adult-Trained Tools

Authors: Gregory T. Armstrong, James E. Bates, Christine V. Chung, Lei Dong, Ralph Ermoian, Jie Fu, Christine Hill-Kayser, Rebecca M. Howell, Meena S. Khan, Sharareh Koufigar, John T. Lucas, Thomas E. Merchant, Taylor Meyers, Tucker J. Netherton, Constance A. Owens, Arnold C. Paulino, 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, The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology and Winship Cancer Institute, Emory University, The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences

Abstract Preview: Purpose: Clinical workflows often rely on auto-segmentation tools trained on adult data, which may exhibit suboptimal performance in pediatric imaging due to inherent anatomical variations and smaller...

Dual Energy Cone Beam Computed Tomography for Artifact Reduction and Enhanced Image Quality Using Existing Hardware in Radiation Therapy

Authors: Michael J. Choi, Vindu Wathsala Kathriarachchi, Christopher L. Nelson, Andrew P. Soderstrom, Yawei Zhang

Affiliation: The University of Texas MD Anderson Cancer Center, MD Anderson, UF Health Proton Therapy Institute

Abstract Preview: Purpose: Cone Beam Computed Tomography (CBCT) is widely used in image-guided radiation therapy for patient positioning. While kV photons offer high image contrast, they are prone to artifacts caused b...

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...

Enhancing CNN-Based Brain Metastasis Detection in MRI By Integrating Locoregional 3D Deformation Technique

Authors: Minbin Chen, Ke Lu, Kaizhong Shi, Chunhao 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: MRI-based automatic detection of brain metastases is often challenged by the small size and subtle nature of metastases. This study aimed to develop a novel deep learning-based brain metastas...

Enhancing Urethral Visualization for Prostate SBRT Using Post-Void T2-Weighted Imaging on a Low-Field 0.35T MR-Linac System

Authors: Nebi Demez, Michael Kasper, Noufal Manthala Padannayil, Shyam Pokharel, Suresh Rana, Lauren A. Rigsby, Tino Romaguera, Nishan Shrestha, Somol Sunny

Affiliation: Lynn Cancer Institute, Boca Raton Regional Hospital, Baptist Health South Florida

Abstract Preview: Purpose: Accurate delineation of the urethra is critical for optimizing tumor control and minimizing urethral toxicity in prostate stereotactic body radiation therapy (SBRT). The purpose of this study...

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 ...

Evaluating 177Lu-PSMA-I&t Reconstruction Parameter Influences on Image Quality and Quantification

Authors: Martin Auerbach, Jeremie Calais, Johannes Czernin, Magnus Dahlbom, Zachary Ells, Adrien Holzgreve, Koichiro Kimura, Karam Masri, Catherine (Caffi) Meyer, David Sennung

Affiliation: Department of Nuclear Medicine, UCLA, UCLA, University of California, Los Angeles

Abstract Preview: Purpose: Lutetium-177 PSMA SPECT/CT imaging offers the possibility of qualitative image analysis for tumor response assessment and quantitative image analysis for individualized dosimetry. However, th...

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...

Evaluation of Noise and Dose Efficiency in Clinical Photon-Counting CT Colonography with Tin Prefiltration

Authors: Xinhui Duan, Vivek Nair, Liqiang Ren, KyuHo Song, Vasantha Vasan, Kuan Zhang, Yue Zhang

Affiliation: Department of Radiology, UT Southwestern Medical Center

Abstract Preview: Purpose: Minimizing radiation dose is crucial in CT colonography (CTC) screening and diagnosis. Tin (Sn) prefiltration is readily incorporated into clinical photon-counting CT (PCCT) scanners, yet its...

Feasibility of Efficient Offline Adaptive Replanning with Hypersight High-Performance Cone-Beam CT on Truebeam for Pelvis RT

Authors: Jochen Cammin, Shifeng Chen, Arun Gopal, Kai Huang, Jason K Molitoris, Amit Sawant, Kai Wang

Affiliation: University of Maryland, Department of Radiation Oncology, University of Maryland School of Medicine, Maryland University Baltimore, Department of Radiation Oncology, University of Maryland Medical Center

Abstract Preview: Purpose: The HyperSight CBCT optional feature on Varian TrueBeam linacs offers a larger field-of-view, improved Hounsfield units (HU) accuracy, and overall improved image quality, including metal arti...

Foundation Models with Balanced Data Sampling Enhance Auto-Segmentation for Cardiac Substructures

Authors: Chloe Min Seo Choi, Nikhil Mankuzhy, Aneesh Rangnekar, Andreas Rimner, Maria Thor, Harini Veeraraghavan, Abraham Wu

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

Abstract Preview: Purpose: Cardiac substructure irradiation predisposes patients for poor outcomes in thoracic radiation therapy. A deep learning model was developed to segment the cardiac substructures invariant to co...

Functional Liver Image Guided Radiation Planning Using MRI with a Contrast Agent

Authors: Kenneth L. Homann, Natalie A Lockney, Hong Zhang

Affiliation: Department of Radiation Oncology, Vanderbilt University Medical Center, Vanderbilt University Medical Center

Abstract Preview: Purpose: The aim of this study is to develop a treatment planning methodology utilizing liver functional imaging via contrast-enhanced Magnetic Resonance Imaging (MRI) in patients undergoing stereotac...

Generalizable 7T T1 Map Synthesis from 1.5T and 3T T1W MRI for High-Resolution MRI-Guided Radiation Therapy

Authors: Zachary Buchwald, Chih-Wei Chang, Zach Eidex, Hui Mao, Richard L.J. Qiu, Justin R. Roper, Mojtaba Safari, Hui-Kuo Shu, Xiaofeng Yang, David Yu

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

Abstract Preview: Purpose: MRI-guided radiation therapy (MRgRT) benefits significantly from enhanced soft-tissue contrast and spatial resolution, which aid in accurately delineating tumors and organs at risk. Although ...

Image Quality Improvement Using a Patient-Specific Post-Trigger Delay Protocol for Coronary CT Angiography

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...

Immobilization and Optimization of Pulse Sequences for 0.23T MRI

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:
It has been challenging to acquire clinically useful MR images of pediatric cancer patients without anesthesia, and MR contrast agents. Custom-made immobilization devices and optimization ...

In-Vivo Dosimetry in Positron-Guided Radiation Therapy

Authors: Davide Brivio, Erno Sajo, Ryan Williams, Piotr Zygmanski

Affiliation: University of Massachusetts Lowell, Brigham and Women's Hospital, Department of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School

Abstract Preview: Purpose: To develop a non-invasive 3D in-vivo dosimetry tool exploring the relationship between positron annihilations and dose per voxel using Monte Carlo simulation. The Positron Guided Radiation Th...

In-Vivo Image Quality of Head/Neck and CNS with an Advanced C-Arm Linac CBCT Solution

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...

Inconsistencies in Methods for CMS Size-Adjusted Dose Measure

Authors: Alexander Alsalihi, Gary Y. Ge, Charles Mike Weaver, Jie Zhang

Affiliation: University of Kentucky

Abstract Preview: Purpose: The upcoming CMS regulation, titled “Excessive Radiation Dose or Inadequate Image Quality for Diagnostic Computed Tomography (CT) in Adults”, employs two measures, size-adjusted DLP (SAD) and...

Integrating Large Kernel Attention Mechanism into Deep Learning Model for Automatic and Auccrate Segmentation of Gross Tumor Volume in Lung Cancer Patients

Authors: Xuezhen Feng, Li-Sheng Geng, Haoze Li, Xi Liu, Tianyu Xiong, Ruijie Yang

Affiliation: Department of Health Technology and Informatics, The Hong Kong Polytechnic University, School of Physics, Beihang University, School of Nuclear Science and Technology, University of South China, Department of Radiation Oncology, Peking University Third Hospital

Abstract Preview: Purpose: This study aimed to develop a deep learning-based algorithm for automatically delineate gross tumor volume (GTV) for lung cancer patients, alleviating the workload of radiologists and improvi...

Investigating Microcalcification Detectability in a Static Breast Cone Beam CT Via Monte Carlo Simulation

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 (ÎźCalcs) detection. By deploying a large number of individu...

Investigation of High Cumulative Doses and Dose Outliers in a Pediatric Hospital

Authors: Niki Fitousi, Stanley Thomas Fricke, Anna Romanyukha

Affiliation: Qaelum NV, Children's National Hospital

Abstract Preview: Purpose:
To identify opportunities for improvement through investigation of outliers in exam dose length product (DLP) and patients receiving high cumulative doses (CED), in the context of our “ped...

Lung Mass Variability in Clinical Chest CT Imaging with Automatic Contouring Tool

Authors: Yasaman Anbari, Srinivas Cheenu Kappadath, Benjamin P. Lopez

Affiliation: University of Houston, UT MD Anderson Cancer Center

Abstract Preview: Purpose: To improve lung dosimetry for 90Y-radioembolization planning, CT-based techniques have been proposed for patient-specific lung mass estimation instead of assuming nominal 1 kg lung masses. He...

Management of 4D CBCT Dose for Patients with Implanted Cardiac Devices

Authors: Won Chang, Vadim L. Stakhursky, Yevgeniy Vinogradskiy

Affiliation: Jefferson Einstein, Alliance Cancer Specialists, Thomas Jefferson University

Abstract Preview: Purpose: 4DCBCT is a powerful tool for localization of moving targets when treating lung tumors with hypofractionated regimens (SBRT). However, for patients with implanted cardiac devices (ICD) in clo...

Multiple x-Ray Source Array (MXA) System Development for Better Ray Sampling in Large Coverage Axial CT Imaging

Authors: Craig K Abbey, John M. Boone, Richard E. Colbeth, Andrew M. Hernandez, Sarah E. McKenney, Vance Robinson, Paul Schwoebel, Jeffrey H. Siewerdsen, Alejandro Sisniega, Wojciech B. Zbijewski

Affiliation: UC Santa Barbara, University of California, UT MD Anderson Cancer Center, Johns Hopkins University, University of New Mexico Albuquerque, UC Davis Health, Varex Imaging Corporation

Abstract Preview: Purpose:
While wide coverage (160 mm) CT scanners can image whole organs (e.g. heart, brain, kidneys, etc.) in one axial scan, the peripheral regions of the field of view (along z) suffer from cons...

NA-Unetr: A Neighborhood Attention Transformer Network for Enhanced 3D Segmentation of the Left Anterior Descending Artery

Authors: Hassan Bagher-Ebadian, Ahmed I Ghanem, Joshua P. Kim, Chengyin Li, Rafi Ibn Sultan, Kundan S Thind, Dongxiao Zhu

Affiliation: Wayne State University, Department of Radiation Oncology, Henry Ford Health-Cancer, Detroit, MI and Alexandria Department of Clinical Oncology, Faculty of Medicine, Alexandria University, Henry Ford Health

Abstract Preview: Purpose: Accurate segmentation of the Left Anterior Descending (LAD) artery in free-breathing 3D treatment planning CT is crucial for radiotherapy but remains challenging due to its small size, comple...

Novel 3D Imaging Systems for Surgical Guidance : Loop-X and Nview S1 in Comparison with O-Arm

Authors: Jia Wang, Vani Yadav

Affiliation: Stanford University

Abstract Preview: Purpose: To evaluate the radiation dose and imaging quality of two novel CBCT X-Ray imaging systems used in spine surgeries.
Methods: CBCT scan of ACR CT and CTDI phantoms was performed to acquire ...

Optimization of the U-Net Model for the Radiation Dose Prediction in Lung Cancer RT Plans and Its Uncertainty Quantification

Authors: Ibtisam Almajnooni, Victor Cobilean, Milos Manic, Harindra Sandun Mavikumbure, Elisabeth Weiss, Lulin Yuan

Affiliation: Virginia Commonwealth University

Abstract Preview: Purpose: This study aims to optimize the 3D U-Net architecture for dose prediction in lung cancer radiation therapy (RT) plans, particularly in scenarios with limited clinical data, as well as to quan...

Optimizing Vessel Wall Visualization Using a Novel Black-Blood CT Technique on Craniocervical CT Angiography

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...

Patient-Specific Imaging Modality Agnostic Virtual Digital Twins Modeling Temporally Varying Digestive Motion

Authors: James M. Balter, Lando S. Bosma, Jorge Tapias Gomez, Nishant Nadkarni, Mert R Sanbuncu, William Paul Segars, Ergys D. Subashi, Neelam Tyagi, Harini Veeraraghavan

Affiliation: University of Michigan, The University of Texas MD Anderson Cancer Center, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Carl E. Ravin Advanced Imaging Laboratories and Center for Virtual Imaging Trials, Duke University Medical Center, Cornell University, University Medical Center Utrecht, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: Develop patient-specific virtual digital twin (VDT) cohorts modeling physically realistic spatio-temporal gastrointestinal (GI) organs (stomach and duodenum) digestive motion.
Methods: Pat...

Patterns of Nanoparticle Uptake for Patients with Multiple Brain Metastases: Similarities and Differences to Standard Gbca

Authors: Stephanie Bennett, Ross I. Berbeco, Ning Jin, Sonal Josan, Justin Michael Sheetz, Atchar Sudhyadhom

Affiliation: Department of Radiation & Cellular Oncology, University of Chicago, University of Massachusetts - Lowell, Siemens Healthineers, Brigham and Women’s Hospital and Dana Farber Cancer Institute, Harvard Medical School,, Brigham and Women's Hospital

Abstract Preview: Purpose: AGuIX, a Gadolinium-based theranostic radiosensitizing nanoparticle, is currently under clinical evaluation in Europe and the US. Using patients from the double-blinded NanoBrainMets trial, u...

Performance Evaluation of an Upright, Short-Scan, Cone-Beam, Dedicated Breast CT System.

Authors: Stephen Araujo, Jing-Tzyh Alan Chiang, Cynthia E. Davis, Eri Haneda, Andrew Karellas, Thomas C Larsen, William Ross, Hsin Wu Tseng, Srinivasan Vedantham, Pengwei Wu

Affiliation: Department of Biomedical Engineering, The University of Arizona, GE Aerospace Research, Department of Medical Imaging, The University of Arizona, GE HealthCare Technology & Innovation Center

Abstract Preview: Purpose: The purpose of this work is to describe the design and development of a newly developed upright-geometry dedicated breast CT system and to quantitatively and qualitatively evaluate its imagin...

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...

Quantitative Analysis of Three Strategies for CTPA Scan Timing Optimization

Authors: Zahra Alyani Nezhad, Carrie Bartels, Rachel Bladorn, Sean D. Rose, Kelsey Schluter, Timothy P. Szczykutowicz

Affiliation: Departments of Radiology and Medical Physics, University Wisconsin-Madison, University of Wisconsin Madison, University of Wisconsin-Madison, University of Texas at Houston Medical School, University of Wisonsin-Madison

Abstract Preview: Purpose: Pulmonary embolism is a life-threatening condition, and computed tomography pulmonary angiography (CTPA) is the gold standard for diagnosis. Inadequate contrast enhancement often leads to a h...

Redesigning the CT Protocol Intranet: Solutions for Improved Access and User Engagement

Authors: Emi Ai Eastman, Vu Nguyen, Alexander W. Scott, Lucien Zang, Yifang (Jimmy) Zhou

Affiliation: Cedars-Sinai Medical Center

Abstract Preview: Purpose:
Three key features were developed to substantially improve a previously in-house developed CT protocol website: a structured backend for efficient protocol creation and edit; the ability t...

Reliable Markerless Lung Tumor Tracking with Built-in Patient-Specific Quality Assurance

Authors: Weixing Cai, Laura I. Cervino, Qiyong Fan, Yabo Fu, Tianfang Li, Xiang Li, Jean M. Moran, Hai Pham, Pengpeng Zhang

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

Abstract Preview: Purpose: AAPM Task Group Report 273 emphasizes the importance of rigorous validation to ensure the generalizability and robustness of machine learning-based clinical tools before their implementation ...

Role of Medical Physicists in CT Contrast Optimization: A Case Study

Authors: Zahra Alyani Nezhad, Carrie Bartels, Rachel Bladorn, Sean D. Rose, Kelsey Schluter, Timothy P. Szczykutowicz

Affiliation: Departments of Radiology and Medical Physics, University Wisconsin-Madison, University of Wisconsin Madison, University of Wisconsin-Madison, University of Texas at Houston Medical School, University of Wisonsin-Madison

Abstract Preview: Purpose: This study presents a scientifically quantified case study that underscores the importance of the medical physicist’s contribution to contrast enhancement optimization.
Methods: CT pulmona...

Sensitivity of CT Ventilation Imaging to Image Acquisition and Reconstruction Parameters: A Phantom Study

Authors: Hilary Louisa Byrne, Paul J. Keall, John Kipritidis, Jeremy Lim

Affiliation: Northern Sydney Cancer Centre, University of Sydney, Image X Institute, Faculty of Medicine and Health, The University of Sydney

Abstract Preview: Purpose:
Non-contrast CT ventilation imaging (CTVI) has been developed as a cost-effective and accessible alternative to PET/SPECT V/Q imaging for visualizing lung function. However, the sensitivit...

Structure-Based Diffusion Model for CT Synthesis from MR Images for Radiotherapy Treatment Planning

Authors: Samuel Kadoury, Redha Touati

Affiliation: Polytechnique MontrĂŠal

Abstract Preview: Purpose:
Generating synthetic CT images from MR acquisitions for radiotherapy planning allows to integrate soft tissue contrast alongside density information stemming from CT, thus improving tumor ...

Synthesizing High-Quality Hepatic Vascular Tree Segmentation Datasets to Improve Segmentation Model Performance

Authors: Trevor McKeown, Deshan Yang, Zhendong Zhang

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

Abstract Preview: Purpose: Accurate delineation of liver blood vascular structures is crucial for planning and executing therapeutic interventions in liver-related medical procedures. However, current auto-segmentation...

Synthetic Spheres: Ultrasound Image Quality Assessment with a Uniform Phantom

Authors: Ted Lynch

Affiliation: Sun Nuclear, a Mirion Medical Company

Abstract Preview: Purpose: A novel ultrasound quality assurance method is presented that constructs “synthetic spheres” at arbitrary locations within the image frame by combining correlation length measurements from a ...

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...

Toward Harmonized AI-Based Quantitative CT: A Voxel-Printed, Patient Specific Phantom for Cross-Platform Harmonization

Authors: Aditya P. Apte, Joseph O. Deasy, Yusuf Emre Erdi, Anqi Fu, Johannes Hertrich, Andrew Jackson, Usman Mahmood, Jason Ocana, Trahan Sean, Amita Shukla-Dave

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

Abstract Preview: Purpose: Automated AI-based quantitative CT tools hold immense promise for advancing clinical decision-making, yet their reproducibility and generalizability remain vulnerable to variability in imagin...

Towards Penile Small Vessel Imaging with Ferumoxytol-Enhanced MRI

Authors: Darren Fang, Amar Kishan, Justin McWilliams, Dan Ruan, Xiaodong Zhong

Affiliation: Department of Radiation Oncology, University of California, Los Angeles, Department of Radiology, University of California, Los Angeles, Department of Radiological Sciences, University of California, Los Angeles

Abstract Preview: Purpose: Prostate radiotherapy can malform penile vasculature, contributing to erectile dysfunction and compromising quality of life. To detect, quantify, and preferably avoid such occurrences, this p...

Virtual Monoenergetic Imaging for Radiotherapy: A Single CT Acquisition for Both Target Delineation and Dose Calculation

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...