• Title/Summary/Keyword: BEAM 코드

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Preliminary Study of the Siemens Primus Linac MLC modelling using BEAM Monte Carlo code (BEAM 몬테칼로 코드를 이용한 Siemens Primus 선형가속기 다엽콜리메이터의 모델링 예비연구)

  • Cheong, Kwang-Ho;Suh, Tae-Suk;Cho, Byung-Chul;Park, Sung-Ho
    • Proceedings of the Korean Society of Medical Physics Conference
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    • 2004.11a
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    • pp.29-32
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    • 2004
  • In this study, we had modelled Siemens type MLC using BEAM Monte Carlo code and tested the feasibility of the modelling. To model the Primus linac MLC, we had measured the actual dimensions of MLC and each leaves, then approximated the leaf shape. VARMLC component module was used for the modelling and leakage, tongue-and-groove effect were also considered. Simulation result showed the good agreement with the film measurement.

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Absorbed Dose Analysis in Water for Proton Beam using PTRAN Code System (PTRAN 코드를 이용한 양성자선에 대한 물 흡수선량의 해석)

  • Kim Jin Young;Jeong Dong Hyeok
    • Progress in Medical Physics
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    • v.15 no.3
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    • pp.140-148
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    • 2004
  • The absorbed dose for proton beam in water was calculated using the PTRAN code system. The proton interactions with water and the description on absorbed dose calculations are discussed, and the file structure and an execution example of the PTRAN codes are described. For 60, 100, 150, 200, and 250 MeV proton beams it is demonstrated that the absorbed dose is determined from the sum of Coulomb interactions and nuclear reactions, and that the Bragg peak feature depends On the energy straggling and multiple scattering. The PTRAN code was useful for studying the fundamental mechanism of the absorbed dose to water for clinical proton beams.

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A Basic Study of Automatic Estimation Algorithm on the Rebar Length of Beam by Using BIM-Based Shape Codes Built in Revit (BIM 기반 형상코드를 이용한 보 철근길이 자동 산장 기초 연구)

  • Widjaja, Daniel Darma;Kim, Sunkuk
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.05a
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    • pp.167-168
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    • 2023
  • Construction of reinforced concrete structures required massive amounts of concrete and steel rebar. The current procedure to estimate the quantity of rebar requires tedious and time-consuming manual labor. Consequently, this circumstance made the engineers vulnerable to error and mistake, which led to the rebar waste. No system that is capable of automatically calculating rebar length has yet been developed Thus, this study proposes a preliminary investigation of automatic rebar length estimation of beam element by using BIM-based shape codes drawn in Revit. Beam is chosen due to its complexity in the rebar arrangement. In addition, the development of this study could assist engineers on the construction site and effectively contribute to the minimization of rebar waste in the future.

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Flaw Sizing by ASME and CSA Code (ASME 및 CSA 코드에 의한 초음파 결함 크기 측정)

  • Park, Moon-Ho;Kang, Suk-Chul
    • Journal of the Korean Society for Nondestructive Testing
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    • v.18 no.4
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    • pp.313-320
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    • 1998
  • To record and evaluate the flaws which were found during pre-service/in-service inspection performance of nuclear power plants in Korea, the center line beam method described in ASME code and 6 dB drop method stated in CSA code were used. The measured through wall dimensions and lengths by these methods were compared and analyzed in this report. With the measured data analysis, the ekact understanding and use of these methods improves the reliability of flaw sizing and assures the integrity of nuclear power plant components.

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A Monte Carlo Simulation Study of a Therapeutic Proton Beam Delivery System Using the Geant4 Code (Geant4 몬테카를로 코드를 이용한 양성자 치료기 노즐의 전산모사)

  • Shin, Jungwook;Shim, Hyunha;Kwak, Jungwon;Kim, Dongwook;Park, Sungyong;Cho, Kwan Ho;Lee, Se Byeong
    • Progress in Medical Physics
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    • v.18 no.4
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    • pp.226-232
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    • 2007
  • We studied a Monte Carlo simulation of the proton beam delivery system at the National Cancer Center (NCC) using the Geant4 Monte Carlo toolkit and tested its feasibility as a dose verification framework. The Monte Carlo technique for dose calculation methodology has been recognized as the most accurate way for understanding the dose distribution in given materials. In order to take advantage of this methodology for application to external-beam radiotherapy, a precise modeling of the nozzle elements along with the beam delivery path and correct initial beam characteristics are mandatory. Among three different treatment modes, double/single-scattering, uniform scanning and pencil beam scanning, we have modeled and simulated the double-scattering mode for the nozzle elements, including all components and varying the time and space with the Geant4.8.2 Monte Carlo code. We have obtained simulation data that showed an excellent correlation to the measured dose distributions at a specific treatment depth. We successfully set up the Monte Carlo simulation platform for the NCC proton therapy facility. It can be adapted to the precise dosimetry for therapeutic proton beam use at the NCC. Additional Monte Carlo work for the full proton beam energy range can be performed.

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Development of the EGS4 Control Code to Calculate the Dose Distributions in a Strong Magnetic Field (자기장이 인가된 물팬텀 속의 전자선 선량분포 계산을 위한 EGS4 제어코드의 개발과 응용)

  • 정동혁;오영기;신교철;김진기;김기환;김정기;이강규;문성록;김성규
    • Progress in Medical Physics
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    • v.14 no.1
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    • pp.1-7
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    • 2003
  • In this work we developed a EGS4 control code to calculate the dose distributions for high energy electron beams in water phantom applied longitudinal magnetic field. We reviewed the electron's motion in magnetic field and delivered equations for direction changs of the electron by the external magnetic field. The mathematical results are inserted into the EGS4 code system to account for the presence of external magnetic fields in phantom. The electron pencil beam paths of 6 MeV in water phantom are calculated for magnetic fields of 1-3 T and the dose distributions for a field of 1.0 cm in diameter are calculated for magnetic fields of 0.6-1 T using the code. From the results of path calculations we found that the lateral ranges of the electrons are reduced in the magnetic field of 3 T. For a field of 1 cm diameter and a magnetic field of 1 T, the small dose enhancement near the range of the electrons on the depth dose and the penumbra reduction of 0.15 cm on the beam profile are observed. We discussed and evaluated the results from the theoretical concepts.

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A Study on Minimization Method of Reading Error Range and Implementation of Postal 4-state Bar Code Reader with Raster Beam (Raster Beam에 의한 우편용 4-state 바코드 판독기 구현 및 판독오차 범위의 최소화 방법에 관한 연구)

  • Park, Moon-Sung;Song, Jae-Gwan;Nam, Yun-Seok;Kim, Hye-Kyu;Jung, Hoe-Kyung
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.7
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    • pp.2149-2160
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    • 2000
  • Recently many efforts on the development of automatic processing system for delivery sequence sorting have been performed in ETRI, which requires the use of postal4-state bar code system to encode delivery points. The 4-state bar code called postal 4-state barcode for high speed processing that has been specifically designed for information processing of logistics and automatic processing of he mail items. The Information of 4-state bar code indicates mail data such as post code, delivery sequence number, error correction code worked, customer information, and a unique ID. This appear addresses the issue on he reduction of reading error in postal 4-state raster beam based bar code reader. The raster beam scanning features are the unequally distributed number of spots per each unit, which cause reading errors. We propose a method for reducing the bar code reading error by adjusting measured values of bar code width to its average value over each interval. The test results show that the above method reduces the average reading error rate approximately by 99.88%.

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Verification of the PMCEPT Monte Carlo dose Calculation Code for Simulations in Medical Physics (의학물리 분야에 사용하기 위한 PMCEPT 몬테카를로 도즈계산용 코드 검증)

  • Kum, O-Yeon
    • Progress in Medical Physics
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    • v.19 no.1
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    • pp.21-34
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    • 2008
  • The parallel Monte Carlo electron and photon transport (PMCEPT) code [Kum and Lee, J. Korean Phys. Soc. 47, 716 (2006)] for calculating electron and photon beam doses has been developed based on the three dimensional geometry defined by computed tomography (CT) images and implemented on the Beowulf PC cluster. Understanding the limitations of Monte Carlo codes is useful in order to avoid systematic errors in simulations and to suggest further improvement of the codes. We evaluated the PMCEPT code by comparing its normalized depth doses for electron and photon beams with those of MCNP5, EGS4, DPM, and GEANT4 codes, and with measurements. The PMCEPT results agreed well with others in homogeneous and heterogeneous media within an error of $1{\sim}3%$ of the dose maximum. The computing time benchmark has also been performed for two cases, showing that the PMCEPT code was approximately twenty times faster than the MCNP5 for 20-MeV electron beams irradiated on the water phantom. For the 18-MV photon beams irradiated on the water phantom, the PMCEPT was three times faster than the GEANT4. Thus, the results suggest that the PMCEPT code is indeed appropriate for both fast and accurate simulations.

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