Bitbyeol Kim
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View article: Carbon ion radiotherapy optimization techniques for pancreatic cancer: accounting for the effect of bowel gas variation
Carbon ion radiotherapy optimization techniques for pancreatic cancer: accounting for the effect of bowel gas variation Open
Background Dose variation due to changes in bowel air poses significant challenges for carbon radiotherapy in pancreatic cancer. This retrospective study evaluated a density-override optimization technique to mitigate dosimetric uncertaint…
View article: Deep Learning-Based Metal Artifact Reduction With Masked Mean Squared Error Loss Function in Simulation CT for Radiation Therapy for Head and Neck Cancer
Deep Learning-Based Metal Artifact Reduction With Masked Mean Squared Error Loss Function in Simulation CT for Radiation Therapy for Head and Neck Cancer Open
Deep learning-based approaches to metal artifact reduction have recently been proposed, yet these methods still struggle to effectively remove metal artifacts in head and neck computed tomography (CT) images, which have a complex structure…
View article: Generation of deep learning based virtual non-contrast CT using dual-layer dual-energy CT and its application to planning CT for radiotherapy
Generation of deep learning based virtual non-contrast CT using dual-layer dual-energy CT and its application to planning CT for radiotherapy Open
This paper presents a novel approach for generating virtual non-contrast planning computed tomography (VNC-pCT) images from contrast-enhanced planning CT (CE-pCT) scans using a deep learning model. Unlike previous studies, which often lack…
View article: Conversion of single-energy CT to parametric maps of dual-energy CT using convolutional neural network
Conversion of single-energy CT to parametric maps of dual-energy CT using convolutional neural network Open
Objectives We propose a deep learning (DL) multitask learning framework using convolutional neural network for a direct conversion of single-energy CT (SECT) to 3 different parametric maps of dual-energy CT (DECT): virtual-monochromatic im…
View article: Conversion of single-energy computed tomography to parametric maps of dual-energy computed tomography using convolutional neural network
Conversion of single-energy computed tomography to parametric maps of dual-energy computed tomography using convolutional neural network Open
Objectives: We propose a deep learning (DL) multi-task learning framework using convolutional neural network (CNN) for a direct conversion of single-energy CT (SECT) to three different parametric maps of dual-energy CT (DECT): Virtual-mono…
View article: Novel tongue-positioning device to reduce tongue motions during radiation therapy for head and neck cancer: Geometric and dosimetric evaluation
Novel tongue-positioning device to reduce tongue motions during radiation therapy for head and neck cancer: Geometric and dosimetric evaluation Open
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 a tong…
View article: 3D star shot analysis using MAGAT gel dosimeter for integrated imaging and radiation isocenter verification of MR‐Linac system
3D star shot analysis using MAGAT gel dosimeter for integrated imaging and radiation isocenter verification of MR‐Linac system Open
Purpose This study aims to investigate a star shot analysis using a three‐dimensional (3D) gel dosimeter for the imaging and radiation isocenter verification of a magnetic resonance linear accelerator (MR‐Linac). Methods A mixture of metha…
View article: Effect of Total Collimation Width on Relative Electron Density, Effective Atomic Number, and Stopping Power Ratio Acquired by Dual-Layer Dual-Energy Computed Tomography
Effect of Total Collimation Width on Relative Electron Density, Effective Atomic Number, and Stopping Power Ratio Acquired by Dual-Layer Dual-Energy Computed Tomography Open
Other SectionsAbstractIntroductionMaterials and MethodsResultsDiscussionConclusionsAcknowledgementsConflicts of InterestAvailability of Data and MaterialsAuthor ContributionsReference
View article: Adaptive Image Rescaling for Weakly Contrast-Enhanced Lesions in Dedicated Breast CT: A Phantom Study
Adaptive Image Rescaling for Weakly Contrast-Enhanced Lesions in Dedicated Breast CT: A Phantom Study Open
The results demonstrated superior image contrast of AIR over SECT, and its higher overall image quality compared to DECT with half the exposure. Therefore, AIR seems to have the potential to improve the detectability of lesions with dedica…
View article: Deriving the Effective Atomic Number with a Dual-Energy Image Set Acquired by the Big Bore CT Simulator
Deriving the Effective Atomic Number with a Dual-Energy Image Set Acquired by the Big Bore CT Simulator Open
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 the stopping power and mat…