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한영이 교수

Young I Han

성균관대학교 의학과 · 물리·천문학

연구실 소개

한영이 교수의 연구실은 방사선 옹생학 분야에서 고도화된 치료 기술의 정밀성과 안정성을 확보하기 위한 연구를 주도하고 있습니다. 특히 프로톤 치료에서 발생하는 영역 불확실성과 비균질 조직 내 선량 계산의 정확성 향상을 목표로 하며, 몬테카를로 시뮬레이션과 상용 치료 계획 시스템 간의 정밀도 검증을 수행하고 있습니다. 또한, 인공지능 기반 생존 예측 모델과 전자 의무기록 시스템의 도입을 통해 임상적 효율성과 환자 관리의 질적 향상을 추구하고 있습니다.

프로톤 치료선량 계산 정확도의료 영상 향상딥러닝 예측 모델전자의무기록 시스템

연구 현황

논문 수
185
총 인용 수
1,253
최근 5년 논문
23
주요 분야
물리·천문학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
23총합
2021
2022
2023
2024
2025
5개년 연도별 피인용 수
88총합
20212022202320242025

주요 논문

15
1
논문|인용수 53·2019
Current status of proton therapy techniques for lung cancer
Youngyih Han
SJR Q2Radiation Oncology JournalOA

Proton beams have been used for cancer treatment for more than 28 years, and several technological advancements have been made to achieve improved clinical outcomes by delivering more accurate and conformal doses to the target cancer cells while minimizing the dose to normal tissues. The state-of-the-art intensity modulated proton therapy is now prevailing as a major treatment technique in proton facilities worldwide, but still faces many challenges in being applied to the lung. Thus, in this ar

Pulmonary and Respiratory MedicineMedicine
2
논문|인용수 40·2006
Interfractional dose variation during intensity-modulated radiation therapy for cervical cancer assessed by weekly CT evaluation
Youngyih Han, Eun Hyuk Shin, Seung Jae Huh, Jung Eun Lee, Won Park
SJR Q1International Journal of Radiation Oncology*Biology*Physics
Obstetrics and GynecologyMedicine
3
논문|인용수 29·2020
Multi-Parametric Deep Learning Model for Prediction of Overall Survival after Postoperative Concurrent Chemoradiotherapy in Glioblastoma Patients
Han Gyul Yoon, Wonjoong Cheon, Sangwoon Jeong, Hye Seung Kim, Kyunga Kim, Heerim Nam, Youngyih Han, Do Hoon Lim
SJR Q1CancersOA

This study aimed to investigate the performance of a deep learning-based survival-prediction model, which predicts the overall survival (OS) time of glioblastoma patients who have received surgery followed by concurrent chemoradiotherapy (CCRT). The medical records of glioblastoma patients who had received surgery and CCRT between January 2011 and December 2017 were retrospectively reviewed. Based on our inclusion criteria, 118 patients were selected and semi-randomly allocated to training and t

Radiology, Nuclear Medicine and ImagingMedicine
4
논문|인용수 22·2018
Proton range verification in inhomogeneous tissue: Treatment planning system vs. measurement vs. Monte Carlo simulation
Dae‐Hyun Kim, Sungkoo Cho, Kwanghyun Jo, Eunhyuk Shin, Chae‐Seon Hong, Youngyih Han, Tae Suk Suh, Do Hoon Lim, Doo Ho Choi
SJR Q1PLoS ONEOA

In particle radiotherapy, range uncertainty is an important issue that needs to be overcome. Because high-dose conformality can be achieved using a particle beam, a small uncertainty can affect tumor control or cause normal-tissue complications. From this perspective, the treatment planning system (TPS) must be accurate. However, there is a well-known inaccuracy regarding dose computation in heterogeneous media. This means that verifying the uncertainty level is one of the prerequisites for TPS

Pulmonary and Respiratory MedicineMedicine
5
논문|인용수 22·2005
Impact of an Electronic Chart on the Staff Workload in a Radiation Oncology Department
Youngyih Han, Seung Jae Huh, Sang Gyu Ju, Yong Chan Ahn, Do Hoon Lim, Jung Eun Lee, Won Park
SJR Q2Japanese Journal of Clinical OncologyOA

BACKGROUND: In order to improve the efficiency of patient care, we developed an electronic medical record system, named the Comprehensive Radiation Oncology Management System (C-ROMS). C-ROMS was used together with a commercial record-and-verify system, LANTIS (Siemens Medical Systems Inc., Concord, CA, USA). The impact of the C-ROMS/LANTIS system on the staff workload in the Radiation Oncology Department was quantified and evaluated. METHODS: Thirty-four breast cancer patients were divided into

RadiationPhysics and Astronomy
6
논문|인용수 17·2010
Comparison of film dosimetry techniques used for quality assurance of intensity modulated radiation therapy
Sang Gyu Ju, Youngyih Han, Oyeon Kum, Kwang‐Ho Cheong, Eun Hyuk Shin, Jung Suk Shin, Jin Sung Kim, Yong Chan Ahn
SJR Q1Medical Physics

PURPOSE: Accurate dosimetry is essential to ensure the quality of advanced radiation treatments, such as intensity modulated radiation therapy (IMRT). Therefore, a comparison study was conducted to assess the accuracy of various film dosimetry techniques that are widely used in clinics. METHODS: A simulated IMRT plan that produced an inverse pyramid dose distribution in a perpendicular plane of the beam axis was designed with 6 MV x rays to characterize the large contribution of scattered photon

RadiationPhysics and Astronomy
7
논문|인용수 15·2021
Improvement of megavoltage computed tomography image quality for adaptive helical tomotherapy using cycleGAN‐based image synthesis with small datasets
Dongyeon Lee, Sangwoon Jeong, Sung Jin Kim, Hyosung Cho, Won Park, Youngyih Han
SJR Q1Medical Physics

PURPOSE: Megavoltage computed tomography (MVCT) offers an opportunity for adaptive helical tomotherapy. However, high noise and reduced contrast in the MVCT images due to a decrease in the imaging dose to patients limits its usability. Therefore, we propose an algorithm to improve the image quality of MVCT. METHODS: The proposed algorithm generates kilovoltage CT (kVCT)-like images from MVCT images using a cycle-consistency generative adversarial network (cycleGAN)-based image synthesis model. D

RadiationPhysics and Astronomy
8
논문|인용수 14·2015
The proton therapy nozzles at Samsung Medical Center: A Monte Carlo simulation study using TOPAS
K. Chung, Jin Sung Kim, Dae‐Hyun Kim, S. H. Ahn, Youngyih Han
SJR Q3Journal of the Korean Physical SocietyOA

To expedite the commissioning process of the proton therapy system at Samsung Medical Center (SMC), we have developed a Monte Carlo simulation model of the proton therapy nozzles by using TOol for PArticle Simulation (TOPAS). At SMC proton therapy center, we have two gantry rooms with different types of nozzles: a multi-purpose nozzle and a dedicated scanning nozzle. Each nozzle has been modeled in detail following the geometry information provided by the manufacturer, Sumitomo Heavy Industries,

Pulmonary and Respiratory MedicineMedicine
9
논문|인용수 14·2008
Dosimetry in an IMRT phantom designed for a remote monitoring program
Youngyih Han, Eun Hyuk Shin, Chunil Lim, Se‐Kwon Kang, Sung Ho Park, J Lah, Tae‐Suk Suh, Myonggeun Yoon, Se Byeong Lee, Sang Hyun Cho, Geoffrey S. Ibbott, Sang Gyu Ju
SJR Q1Medical Physics

An accurate delivery of prescribed dose is essential to ensure the most successful outcome from advanced radiation treatments such as intensity modulated radiation therapy (IMRT). An anthropomorphic phantom was designed and constructed to conduct a remote-audit program for IMRT treatments. The accuracy of the dosimetry in the phantom was assessed by comparing the results obtained from different detectors with those from Monte Carlo calculations. The developed phantom has a shape of a cylinder wi

RadiationPhysics and Astronomy
10
논문|인용수 14·2018
Feasibility study of Fe 3 O 4 /TaO x nanoparticles as a radiosensitizer for proton therapy
Sang Hee Ahn, Nohyun Lee, Changhoon Choi, Sung Won Shin, Youngyih Han, Hee Chul Park
SJR Q1Physics in Medicine and Biology

Abstract We investigated the feasibility of using multifunctional Fe 3 O 4 /TaO x (core/shell) nanoparticles, developed for use in contrast agents for computed tomography (CT) and magnetic resonance imaging (MRI), as dose-enhancing radiosensitizers. First, to verify the detectability of Fe 3 O 4 /TaO x nanoparticles in imaging, in vivo tests were conducted. Approximately 600 mg kg −1 of 19 nm-diameter Fe 3 O 4 /TaO x nanoparticles dispersed in phosphate-buffered saline was injected into the tail

Pulmonary and Respiratory MedicineMedicine
11
논문|인용수 13·2017
Study on dependence of dose enhancement on cluster morphology of gold nanoparticles in radiation therapy using a body-centred cubic model
Sang Hee Ahn, K. Chung, Jung Wook Shin, Wonjoong Cheon, Youngyih Han, Hee Chul Park, Doo Ho Choi
SJR Q1Physics in Medicine and Biology

Gold nanoparticles (GNPs) injected in a body for dose enhancement in radiation therapy are known to form clusters. We investigated the dependence of dose enhancement on the GNP morphology using Monte-Carlo simulations and compared the model predictions with experimental data. The cluster morphology was approximated as a body-centred cubic (BCC) structure by placing GNPs at the 8 corners and the centre of a cube with an edge length of 0.22-1.03 µm in a 4 × 4 × 4 µm<sup>3</sup> water-filled phanto

Pulmonary and Respiratory MedicineMedicine
12
논문|인용수 10·2022
Clinical applicability of deep learning-based respiratory signal prediction models for four-dimensional radiation therapy
Sangwoon Jeong, Wonjoong Cheon, Sungkoo Cho, Youngyih Han
SJR Q1PLoS ONEOA

For accurate respiration gated radiation therapy, compensation for the beam latency of the beam control system is necessary. Therefore, we evaluate deep learning models for predicting patient respiration signals and investigate their clinical feasibility. Herein, long short-term memory (LSTM), bidirectional LSTM (Bi-LSTM), and the Transformer are evaluated. Among the 540 respiration signals, 60 signals are used as test data. Each of the remaining 480 signals was spilt into training and validatio

RadiationPhysics and Astronomy
13
논문|인용수 10·2015
A virtual simulator designed for collision prevention in proton therapy
Hyunuk Jung, Oyeon Kum, Youngyih Han, Hee Chul Park, Jin Sung Kim, Doo Ho Choi
SJR Q1Medical PhysicsOA

PURPOSE: In proton therapy, collisions between the patient and nozzle potentially occur because of the large nozzle structure and efforts to minimize the air gap. Thus, software was developed to predict such collisions between the nozzle and patient using treatment virtual simulation. METHODS: Three-dimensional (3D) modeling of a gantry inner-floor, nozzle, and robotic-couch was performed using SolidWorks based on the manufacturer's machine data. To obtain patient body information, a 3D-scanner

Pulmonary and Respiratory MedicineMedicine
14
논문|인용수 9·2023
Monte Carlo simulation‐based patient‐specific QA using machine log files for line‐scanning proton radiation therapy
Chanil Jeon, Jinhyeop Lee, Jungwook Shin, Wonjoong Cheon, S. H. Ahn, Kwanghyun Jo, Youngyih Han
SJR Q1Medical PhysicsOA

BACKGROUND: Quality assurance (QA) is a prerequisite for safe and accurate pencil-beam proton therapy. Conventional measurement-based patient-specific QA (pQA) can only verify limited aspects of patient treatment and is labor-intensive. Thus, a better method is needed to ensure the integrity of the treatment plan. PURPOSE: Line scanning, which involves continuous and rapid delivery of pencil beams, is a state-of-the-art proton therapy technique. Machine performance in delivering scanning protons

Pulmonary and Respiratory MedicineMedicine
15
논문|인용수 9·2015
Preclinical investigation for developing injectable fiducial markers using a mixture of BaSO4 and biodegradable polymer for proton therapy
Sang Hee Ahn, Moon Soo Gil, Doo Sung Lee, Youngyih Han, Hee Chul Park, Jason W. Sohn, Hye Yeong Kim, Eun Hyuk Shin, Jeong Il Yu, Jae Myoung Noh, Jun Sang Cho, Sung Hwan Ahn
SJR Q1Medical Physics

PURPOSE: The aim of this study is to investigate the use of mixture of BaSO4 and biodegradable polymer as an injectable nonmetallic fiducial marker to reduce artifacts in x-ray images, decrease the absorbed dose distortion in proton therapy, and replace permanent metal markers. METHODS: Two samples were made with 90 wt. % polymer phosphate buffer saline (PBS) and 10 wt. % BaSO4 (B1) or 20 wt. % BaSO4 (B2). Two animal models (mice and rats) were used. To test the injectability and in vivo gelatio

Pulmonary and Respiratory MedicineMedicine

대표 연구 분야

RadiationPulmonary and Respiratory MedicineRadiology, Nuclear Medicine and ImagingHepatologyBiomedical EngineeringObstetrics and Gynecology

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