A5077273892- Advanced X-ray and CT Imaging
- Radiation Dose and Imaging
- Medical Imaging Techniques and Applications
- Head and Neck Cancer Studies
- Salivary Gland Disorders and Functions
- Nuclear Physics and Applications
- Electrical and Bioimpedance Tomography
- Machine Learning in Materials Science
- Advanced Radiotherapy Techniques
- Particle Detector Development and Performance
- Oral health in cancer treatment
- Electron and X-Ray Spectroscopy Techniques
- Radiation Therapy and Dosimetry
- Radiation Effects in Electronics
- Effects of Radiation Exposure
- Radiation Detection and Scintillator Technologies
- Lung Cancer Diagnosis and Treatment
Seoul National University Hospital
2021-2024
Pusan National University
2021
Seoul National University
2020
This study aims to investigate a star shot analysis using three-dimensional (3D) gel dosimeter for the imaging and radiation isocenter verification of magnetic resonance linear accelerator (MR-Linac).A mixture methacrylic acid, gelatin, tetrakis (hydroxymethyl) phosphonium chloride, called MAGAT gel, was fabricated. One each Linac MR-Linac irradiated under six gantry angles. A 6 MV photon beam flattening filter free were delivered two gels EBT3 films. MR images acquired by with clinical...
Abstract Objectives We propose a deep learning (DL) multitask framework using convolutional neural network for direct conversion of single-energy CT (SECT) to 3 different parametric maps dual-energy (DECT): virtual-monochromatic image (VMI), effective atomic number (EAN), and relative electron density (RED). Methods VMI-Net SECT 70, 120, 200 keV VMIs. In addition, EAN-Net RED-Net were also developed convert EAN RED. trained validated our model 67 patients collected between 2019 2020....
Background This study aims to determine the effective atomic number (Zeff) from dual-energy image sets obtained using a conventional computed tomography (CT) simulator. The estimated Zeff can be used for deriving stopping power and material decomposition of CT images, thereby improving dose calculations in radiation therapy. Materials Methods An electron-density phantom was scanned Philips Brilliance Big Bore at 80 140 kVp. values were compared with those calibration by applying Rutherford,...
This paper presents a novel approach for generating virtual non-contrast planning computed tomography (VNC-pCT) images from contrast-enhanced CT (CE-pCT) scans using deep learning model. Unlike previous studies, which often lacked sufficient data pairs of and images, we trained our model on dual-energy (DECT) (VNC CT) as outputs instead true images. We used deterministic method to convert CE-pCT into pseudo DECT application. Model training evaluation were conducted 45 patients. The...
This study aimed to assess the performance of a tongue-positioning device in interfractional tongue position reproducibility by cone-beam computed tomography (CBCT). Fifty-two patients treated with radiation therapy (RT) while using positioning were included study. All 28 or 30 fractions volumetric modulated arc technique. CBCT images acquired at 1st, 7th, 11th, 15th, 19th, 23th, and 27th fractions. Tongues on planning (pCT) contoured treatment system. Geometric differences between pCT...
Objectives: We propose a deep learning (DL) multi-task framework using convolutional neural network (CNN) for direct conversion of single-energy CT (SECT) to three different parametric maps dual-energy (DECT): Virtual-monochromatic image (VMI), effective atomic number (EAN), and relative electron density (RED). Methods: VMI-Net SECT 70, 120, 200 keV VMIs. In addition, EAN-Net RED-Net were also developed convert EAN RED. trained validated our model 67 patients collected between 2019 2020....
Purpose Dedicated breast CT is an emerging volumetric X-ray imaging modality for diagnosis that does not require any painful compression.To improve the detection rate of weakly enhanced lesions, adaptive image rescaling (AIR) technique was proposed. Materials and MethodsTwo disks containing five identical holes different diameters were scanned using 60/100 kVp to obtain single-energy (SECT), dual-energy (DECT), AIR images.A piece pork also as a subclinical trial.The quality evaluated...
Other SectionsAbstractIntroductionMaterials and MethodsResultsDiscussionConclusionsAcknowledgementsConflicts of InterestAvailability Data MaterialsAuthor ContributionsReference