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Results for "pet trus": 44 found

A Bayesian Model for the Detection of Local Ventilation Changes in Lung Cancer Patients

Authors: Bas W. Raaymakers, Mario Ries, Paris Tzitzimpasis, Cornel Zachiu

Affiliation: Department of Radiotherapy, University Medical Center Utrecht, University Medical Center Utrecht, UMC Utrecht

Abstract Preview: Purpose: Radiation pneumonitis affects approximately 10-30% of lung cancer patients treated with radiation therapy (RT), posing a significant dose-limiting factor. Recently developed CT-ventilation me...

A Diffusion-Based AI Framework for Continuous Deformable Image Registration and Time-Resolved Dynamic CT Generation

Authors: Mingli Chen, Xuejun Gu, Hao Jiang, Mahdieh Kazemimoghadam, Weiguo Lu, Gregory Szalkowski, Qingying Wang, Kangning Zhang

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

Abstract Preview: Purpose: Respiratory motion management is crucial for accurate radiation delivery to moving targets while protecting healthy tissue, relying on time-resolved volumetric imaging and continuous deformab...

A Mechatronic Biopsy Guidance System for an Integrated 3D TRUS with Prostate-Specific PET System

Authors: Jeffrey Bax, Ian A. Cunningham, Aaron Fenster, Lori Gardi, Sule Karagulleoglu Kunduraci, Alla Reznik, David Tessier

Affiliation: Robarts Research Institute, Imaging Research Laboratories, Robarts Research Institute, Lakehead University

Abstract Preview: Purpose: Image-guided biopsy is critical for early diagnosis of prostate cancer (PCa), the most common cancer in men worldwide. While the prostate-specific PET (P-PET) system offers enhanced sensitivi...

A Novel 3D Printed Template for Electron Treatments to Aid Patient Positioning and Targeting.

Authors: Christopher J. Mart, Inna V. McGowin

Affiliation: Medical University of South Carolina

Abstract Preview: Purpose: Electron treatments are prone to setup variations and uncertainties due to absence of imaging or surface guided alignment. Patient setup relies on daily marking and visual verification. A 3D-...

A Simple and Reliable Method to Determine Patients Eligible for Treatment on the Novel Biological Guided Radiotherapy (BgRT) System Based on FDG Uptake in Nearby Non-Treatment Regions.

Authors: Brett Lewis, Roland Teboh

Affiliation: HUMC, Hackensack University Medical Center

Abstract Preview: Purpose: The novel RefleXion SCINTIX BgRT system relies on the FDG uptake distribution from a PET study to plan and deliver dose. One of the patient eligibility criteria is that any uptake outside the...

A Two-Marker Method for Calculating the Radiological Magnification of the Hip in Standing Pelvic Radiography

Authors: Walaa Abdelfadeel, Reagan Thomas Dugan, Tiffany Kinsey, Cameron Kofler, Zheng Feng Lu, Ingrid S. Reiser, Gregory Stacy, Sara Wallace

Affiliation: University of Chicago Medicine, University of Chicago

Abstract Preview: Purpose: To develop an accurate, vendor-neutral method for estimating geometric magnification at the plane of the hip joint on standing anterior-posterior (AP) radiographs for digital templating of to...

Advancing Flash Radiotherapy: Intercomparison of Parameters between Two Institutions to Optimize Clinical Applications.

Authors: Amir Abdollahi, Celine Karle, Michele M. Kim, Constantinos Koumenis, Andrea Mairani, Erato Stylianou Markidou

Affiliation: Heidelberg Ion-Beam Therapy Center - Department of Radiation Oncology, German Cancer Research Centre(DKFZ), University of Pennsylvania, Physics Dep. University of Cyprus

Abstract Preview: Purpose: The aim is to compare FLASH dose-rate RT generated with protons and carbon (HIT) and compare to protons (UPenn) to provide evidence for equipotency of FLASH vs. standard RT to tumor growth co...

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...

An Initial Simulation Study Towards the Patient-Specific Estimation of Stopping Power Ratio and Sound Velocity Using Protoacoustics: A Sensitivity Matrix Method

Authors: Ye Chen, Koki Kasamatsu, Taeko Matsuura, Taichi Murakami

Affiliation: Hokkaido University, National Institutes for Quantum Science and Technology (QST)

Abstract Preview: Purpose: In proton therapy, CT-based estimation of the stopping power ratio (SPR) is a significant source of range uncertainty. Protoacoustics have been developed to estimate the range in vivo, but fe...

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...

Bayesian Mixture Modelling of Apparent Diffusion Coefficients from Whole-Body MRI Reveals Significant Changes in Metastatic Lesions Treated with Stereotactic Body Radiotherapy Compared to Untreated Controls

Authors: Giacomo Avesani, Matthew D Blackledge, Silvia Bottazzi, Alison Tree, Nina Tunariu

Affiliation: Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Institute of Cancer Research, The Royal Marsden NHS Foundation Trust

Abstract Preview: Purpose: To evaluate changes in median apparent diffusion coefficient (ADC) within metastatic oligoprogressing lesions from prostate cancer treated with stereotactic body radiotherapy (SBRT) and compa...

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...

Characterization of Commercially-Available Dosimeters and Prototype Diamond Detectors for Absolute Flash Dosimetry of Small-Field Pulsed Proton Beams

Authors: Ronald C Chen, Hao Gao, Nicolas Gerard, Harold Li, Yuting Lin, Jarrick Nys, Jufri Setianegara, Mark Szczepanski, Aoxiang Wang

Affiliation: 4Physikalisch-Technische Werkstätten (PTW), Department of Biomedical Engineering, Huazhong University of Science and Technology, Ion Beam Applications (IBA), Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Modern synchrocyclotrons can produce magnetically-scanned protons at ultra-high dose-rates (FLASH). However, their pulsed nature leads to high doses-per-pulse (DPP) which can cause non-neglig...

Characterizing an Osld Dosimetry System for Use in a Multi-Clinic Environment

Authors: Amar K. Basavatia, Lee C. Goddard, Rachel Grimm, Wolfgang A. Tomé

Affiliation: Montefiore Medical Center

Abstract Preview: Purpose: To characterize the “MyOSL Chip” OSLD system for clinical use and compare the response of multiple readers to allow for utilization in a multi-clinic environment.
Methods: Dose calibration...

Cherenkov Image Denoising with Diffusion-Based Deep-Learning for High-Fidelity Video Display of EBRT

Authors: Petr Bruza, Jeremy Eric Hallett, Brian W Pogue, Yucheng Tang, Shiru Wang

Affiliation: NVIDIA Corp, Dartmouth College, Thayer School of Engineering, Dartmouth College, University of Wisconsin-Madison, University of Wisconsin - Madison

Abstract Preview: Purpose: Cherenkov imaging allows for real-time visualization of megavoltage X-ray or electron beam delivery during radiation therapy. By using a time-gated intensified CMOS camera synchronized with a...

Combining Patch-Based CNN Models with Hierarchical Shapley Explanations for Breast Cancer Diagnosis

Authors: Xuelian Chen, John Ginn, Zhuhong Li, Kaizhong Shi, Chunhao Wang, Jianliang 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: Developing deep learning-based models for accurate automated breast cancer diagnosis from mammography presents significant challenges due to the small size and subtle nature of breast lesions...

Comparison of Clinical Virtual Unenhanced and True Unenhanced Images on a Prototype Deep Silicon Photon-Counting Detector CT

Authors: Meghan Lubner, Krista McClure, Aria M. Salyapongse, Timothy P. Szczykutowicz, Giuseppe Toia, Ming Yan, Zhye Yin, Meghan Yue

Affiliation: GE HealthCare, Departments of Radiology and Medical Physics, University Wisconsin-Madison, GE Healthcare, University of Wisconsin-Madison, UW-Madison, University of Wisconsin Madison, Department of Radiology

Abstract Preview: Purpose: To evaluate virtual unenhanced (VUE) and true unenhanced (TUE) human subject images on a prototype deep silicon photon-counting detector (PCD) CT with prototype algorithms.
Methods: 5 subj...

Deep Learning-Based Prompt Gamma Imaging for Proton Range Verification Using Patient Data Simulation

Authors: Mostafa Cham, Matthias K Gobbert, Zhuoran Jiang, Sina Mossahebi, Ruth Obe, Stephen W. Peterson, Jerimy C. Polf, Lei Ren, Ehsan Shakeri, Vijay Raj Sharma

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

Abstract Preview: Purpose: Compton camera (CC)-based prompt gamma imaging (PGI) offers real-time proton range verification. However, its limited-angle measurements cause severe distortions in PGI, affecting its clinica...

Detector Physics-Incorporated Diffusion Denoising Models for Digital Breast Tomosynthesis with Dual-Layer Flat Panel Detectors

Authors: Alexander Bookbinder, Matthew Tivnan, Xiangyi Wu, Wei Zhao

Affiliation: Stony Brook Medicine, Massachusetts General Hospital

Abstract Preview: Purpose: To investigate and benchmark a system-adaptive diffusion-based digital breast tomosynthesis (DBT) denoising model for a direct-indirect dual-layer flat panel detector (DI-DLFPD) with a k-edge...

Determine Noise Weighting Factor in Photon-Counting CT Via Deep Learning for Personalized Noise Reduction

Authors: Xinhui Duan, Roderick W. McColl, Mi-Ae Park, Liqiang Ren, Gary Xu, Kuan Zhang, Yue Zhang

Affiliation: UT Southwestern Medical Center, Department of Radiology, UT Southwestern Medical Center, Imaging Services, UT Southwestern Medical Center

Abstract Preview: Purpose:
Image-based deep-learning noise-reduction techniques have been developed for photon-counting CT (PCCT) to improve image quality with reduced radiation dose. The denoising strength is typic...

Development of a Bayesian Network for a Comprehensive Uncertainty Assessment in Personalized Dosimetry after Targeted Radionuclide Therapy

Authors: Nadège Anizan, David Broggio, Eric Chojnacki, Estelle Davesne, Didier Franck, Stéphanie Lamart, Alexandre Pignard

Affiliation: Institut Bergonié, Service de Physique Médicale, Autorité de Sûreté Nucléaire et de Radioprotection (ASNR), PSE-SANTE/SDOS/LEDI, Autorité de Sûreté Nucléaire et de Radioprotection (ASNR), PSE-SANTE/SDOS, Autorité de Sûreté Nucléaire et de Radioprotection (ASNR), PSN-RES/SEMIA/LSMA

Abstract Preview: Purpose: To develop an innovative method enabling a comprehensive uncertainty budget associated to personalized absorbed doses for 177Lu-PSMA therapy and providing probability distributions of all dos...

Development of a Method to Standardize Multi-Institutional Quality Assurance Data through an AI Based Language Model Ontology.

Authors: Rafe A. McBeth, Ayoola Okuribido, Rodney D. Wiersma

Affiliation: Department of Radiation Oncology, University of Pennsylvania, University of Pennsylvania, UCLA

Abstract Preview: Purpose: To develop a method for standardizing data collected during quality assurance checks across institutions using language models.
Background: QA procedures and data management can vary widel...

Development of a Method to Standardize Multi-Instiutional Quality Assurance Data through an AI Based Language Model Ontology.

Authors: Rafe A. McBeth, Ayoola Okuribido, Rodney D. Wiersma

Affiliation: Department of Radiation Oncology, University of Pennsylvania, University of Pennsylvania, UCLA

Abstract Preview: Purpose: To develop a method for standardizing data collected during quality assurance checks across institutions using language models.
Background: QA procedures and data management can vary widel...

Development of a Robust 3D-Ultrasound (3DUS) Quality Assurance (QA) Framework for a Real-Time Needle-Tracking System in HDR GYN Brachytherapy

Authors: Diandra Ayala-Peacock, Lindsey Hendricks Bloom, Oana I. Craciunescu, Julie A. Raffi, Megan K. Russ, Ryan Sanford, Rajesh Venkarataman

Affiliation: Clinical Imaging Physics Group, Department of Radiology, Duke University Health System, Duke University Medical Center, Duke University, Eigen Health, Duke Univesity

Abstract Preview: Purpose: To establish a robust QA framework to characterize and ensure accuracy, reliability, and reusability of a transrectal ultrasound (TRUS)-based needle tracking system (NTS) for clinical HDR GYN...

Direct Measurement of DNA Damage to Determine Dose and Biological Effectiveness

Authors: Michael Lamontagne, Ileana Pazos, Jerimy C. Polf, Joseph W. Robertson, Teniola Tobun, Ronald E. Tosh, Michael Zwolak

Affiliation: Biophysics and Biomedical Research Group, Microsystems and Nanotechnology Division, National Institute of Standards and Technology, M3D, Inc, National Institute of Standards and Technology, Dosimetry Group, Radiation Physics Division, National Institute of Standards and Technology

Abstract Preview: Purpose: To study how damage to DNA molecules increases and changes as a function of the type and dose of radiation.

Methods: DNA molecules of a known length (number of base pairs (BP)) within ...

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 ...

Effect of Dose and Depth Dependence of Rbe on Hypofractionated Proton Therapy for Ocular Melanoma

Authors: Alexei V. Chvetsov, Pavitra Ramesh, Alexei V. Trofimov

Affiliation: Massachusetts General Hospital, University of Washington

Abstract Preview: Purpose: To investigate the effect of dose and depth dependence of relative biological effectiveness (RBE) on hypofractionated proton therapy for ocular melanoma using equivalent uniform RBE-weighted ...

Enhance Four-Dimension Cone-Beam Computed Tomography (4D-CBCT) from Sparse Views Using a Novel Deep Learning Model

Authors: Lei Ren, Jie Zhang

Affiliation: University of Maryland School of Medicine

Abstract Preview: Purpose: 4D-CBCT is valuable for imaging anatomy affected by respiratory motions to guide radiotherapy delivery. However, 4D-CBCT often has undersampled projections acquired in each respiratory phase ...

Evaluation of the Dosimetric Characteristics of Multi-Layers of Brass Mesh Bolus for Electron Treatment

Authors: Yunzhi Ma, Ling Zhuang

Affiliation: Northwestern Medicine

Abstract Preview: Purpose: Multiple layers of brass mesh bolus (RPD, Inc., Albertville, MN) may be needed to provide better body conformity and sufficient dose build up on patient surface during electron treatment. Thi...

Fast 3D Scintillation Dosimetry Using Single View Deep Learning Reconstruction

Authors: Louis Archambault, Nicolas Drouin, Alexis Horik, Simon Thibault

Affiliation: Département de Physique, de Génie Physique et D'optique, et Centre de Recherche sur le Cancer, Université Laval, Département de Physique, de Génie Physique et D'optique, et Centre d'optique, photonique et laser, Université Laval

Abstract Preview: Purpose: To develop a novel type of real-time 3D dosimeter for the quality assurance of linear accelerators used in external beam radiotherapy.
Methods: An experimental setup was constructed using ...

Feasibility Study of Ethos Artificial-Intelligence Online Adaptive Prostate SBRT

Authors: Miguel Albaladejo, Ana Corbalan, Aitor Ortega, Vicente Puchades, David Ramos, Alfredo Serna-Berna, Jonattan Suarez

Affiliation: Hospital General Universitario Santa Lucia

Abstract Preview: Purpose:
Prostate SBRT treatments are frequently delivered using standard VMAT IGRT technique. The aim of this study is to test the feasibility of Ethos Artificial Intelligence (AI) prostate SBRT b...

Feasibility and Consistency of a Quad Wedge with a 2D Detector Array for Routine Quality Assurance on a MR-Linac

Authors: Grace Hutchinson, Daniel E. Hyer, Samuel D. Rusu, Blake R. Smith, Joel J. St-Aubin

Affiliation: Iowa Health Care, University of Iowa

Abstract Preview: Purpose: To assess the feasibility and consistency of the Sun Nuclear Corporation (SNC) MR conditional Quad Wedge, as an accessory to the IC Profiler-MR, and to evaluate beam output and energy in the ...

HyperArcTM Automated Radiosurgery Planning Enables Accurate a Priori Isotoxic Prescription Dose Selection

Authors: Rex A. Cardan, Carlos E. Cardenas, John B Fiveash, Joel A. Pogue, Richard A. Popple, Farnaz Rahim Li, Rodney J. Sullivan, Natalie N. Viscariello, Christopher Willey

Affiliation: The University of Alabama at Birmingham, University of Alabama at Birmingham

Abstract Preview: Purpose: vBrain radiosurgery toxicity-rate is estimated via clinically-relevant isodose volume (IDV) thresholds according to HyTEC (e.g., V12Gy≤10cc). HyperArcTM (HA) automated planning allows accurat...

Implementation of an Innovative Digital Competency Record System

Authors: Benjamin J. Sintay, Caroline Vanderstraeten, David B. Wiant

Affiliation: Fuse Oncology, Cone Health

Abstract Preview: Purpose: The Joint Commission (JC) mandates that healthcare organizations establish and evaluate staff competencies to ensure safe and effective patient care. In the context of increasing sub-speciali...

Improving Output Stability with Angular Correction Factor on Pencil Beam Scanning Proton System

Authors: Akbar Anvari, Carnell J. Hampton, Melanie R. Piantino, Kai Yang

Affiliation: Levine Cancer Institute, Atrium Health

Abstract Preview: Purpose: To evaluate the effectiveness of angular correction factor for output stability on Mevion S250i Hyper scanning machine, which allows user to apply correction factors for output at selected ga...

Integration of Dosimetric Scorecard Analysis into Knowledge-Based Planning Improves Model Performance for VMAT Post-Mastectomy Radiation Therapy

Authors: Ryan Clark, Jon Cornelisse, Kenny Guida, Anthony Magliari, Lesley Rosa, Megan Smith, Shane R Stecklein

Affiliation: Office of Medical Affairs, Varian, A Siemens Healthineers Company, Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Post-mastectomy radiation therapy (PMRT) can pose a challenge for planners of all levels of experience. For cases where 3D conformal therapy yields undesirable results (i.e., dose heterogenei...

Introduce a Novel Spot-Scanning Proton Arc(SPArc) Optimization Algorithm for Single Energy Extraction(SEE) Synchrotron-Accelerator-Based Proton Therapy System (PTS)

Authors: Xiaoda Cong, Xuanfeng Ding, Gang Liu, Peilin Liu, Jiajian Shen

Affiliation: Department of Radiation Oncology, Mayo Clinic, Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Corewellhealth William Beaumont University Hospital

Abstract Preview: Purpose: This study aims to develop the first SPArc optimization algorithm based on the Dynamic Programming (SPArc-DP), to improve the treatment delivery efficiency for synchrotron-accelerator-based P...

Performance Analysis of Various Deep Learning Networks for Classification of True and False Positive 18F-PSMA Findings

Authors: Vasiliki Chatzipavlidou, Ilias Gatos, George C. Kagadis, Theodoros Kalathas, Paraskevi Katsakiori, Anna Makridou, Dimitris N. Mihailidis, Nikos Papathanasiou, Ioanna Stamouli, Stavros Tsantis

Affiliation: Theageneio Hospital, University of Pennsylvania, University of Patras

Abstract Preview: Purpose: To compare the performance of multiple deep learning (DL) networks, including DenseNet201, InceptionV3, MobileNetV3, EfficientNetB2, NASNetMobile, VGG19, ResNet50, and Xception, in classifyin...

Planning and Delivering Homogenous Dose to Craniospinal Irradiation on Linear Accelerator

Authors: Issra Rashed, Jennie Wilder, Jingeng Zhu

Affiliation: Rush Riverside Cancer Institute, Advanced Oncology Solutions (AOS) Varian, a Siemens Healthineers company

Abstract Preview: Purpose: Develop a method to plan and deliver homogeneous dose to Craniospinal(CS) irradiation on Linear Accelerator.
Methods: Three treatment planning volumes (PTV) are created in sequence from su...

Quantifying Uncertainties in Radiation Risk and Performance-Based Clinical Risk Assessment in Clinical Computed Tomography

Authors: Em Harkness, Francesco Ria, Ehsan Samei

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

Abstract Preview: Purpose:
A recently introduced mathematical method quantifies performance-based clinical risk to create a risk-to-risk assessment with radiation risk, rendering the so-called total risk. However, t...

Serial PET-CT Activity Concentration during Small Target Lung Tumor SBRT

Authors: Joseph Barbiere, Joseph Hanley, Brett Lewis, Jay Mistry, Alois M. Ndlovu, Roland Teboh

Affiliation: Hackensack University Medical Center, HUMC, Jersey Shore University Medical Center

Abstract Preview: Purpose:
Quantitative PET-CT can evaluate clinical response to radiotherapy. For tumors less than approximately 3cm partial volume effects due to the poor PET resolution makes accurate measurement ...

Shape-Optimized Radiation-Induced Acoustic Computed Tomography for In Vivo online Monitoring of Radiation Therapy

Authors: Yong Chen, Gilberto Gonzalez, Omprakash Gottam, Liangzhong Xiang

Affiliation: University of California, Irvine, Koneru Lakshmaiah Education Foundation, University of Texas at San Antonio., University of Oklahoma Health Science Center

Abstract Preview: Purpose: Clinics currently lack techniques for real-time, in vivo monitoring of radiation therapy (RT), which is desirable for precise treatment. Radiation-induced acoustic computed tomography (RACT) ...

Streamlined Stereotactic Radiosurgery (SRS) Commissioning Experience with a 6FFF Beam for an Elekta Versa: A Clinical Overview for Increased Precision.

Authors: Asma Amjad, Slade J. Klawikowski, Natalya V. Morrow, Haidy G. Nasief, Eric S. Paulson, An Tai, Hualiang Zhong

Affiliation: Department of Radiation Oncology, Medical College of Wisconsin

Abstract Preview: Purpose: Accurate and precise linac-based SRS commissioning can be very challenging. Thus, it is important to increase the confidence in the measurement at each step prior to end-to-end testing. The p...

Ukan Architecture for Voxel-Level Dose Prediction in Radiotherapy

Authors: Lu Jiang, 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:
Conventional radiotherapy treatment planning is guided by a set of generic objectives that are unspecific to patient anatomy. Treatment planning thus heavily relies on the planner’s experi...