• Progress in Medical Physics
• /
• v.9 no.4
• /
• pp.201-206
• /
• 1998

IMRT optimization method on multiple slice has been developed by using gradient based algorithm. On about 10-30 CT slices including treatment region of a patient, dose optimization has been performed slice by slice to meet the condition that each organ should be exposed below maximum tolerable doses and that the tumor dose within the range of 100$\pm$5 %. Field size was limited to 8$\times$8 cm$^2$ and in this condition, beam divergence was not taken into account to calculate dose distribution. Total dose distribution was calculated by superposing each beamlet whose dose distribution had been precalculated. In order to investigate beam number dependency, dose optimization was performed for one, three, five, seven, and nine coplanar beams and then each optimization index was evaluated. It is found that optimization time was proportional to number of slices to be optimized, and the most efficient plan was obtained from the case of three-to-seven incident beams with respect to calculation time and optimization index. In conclusion, dose optimization of multiple slice was able to be obtained by repeating dose optimization of single slice under condition that the beam size is not too large to ignore beam divergence. And it turns out that result of dose optimization was so sensitive to the position of isocenter that some method to optimize isocenter position is needed to improve it.

• Proceedings of the Korean Society of Medical Physics Conference
• /
• 2003.09a
• /
• pp.35-35
• /
• 2003

목적 : 세기변조방사선치료의 정도관리 중 선량 분포의 비교에 관한 새로운 정량적인 방법을 제시하였다. 이 과정 중에서 선량의 기울기가 큰 영역에서의 문제점을 해결하기 위하여 최적화 알고리듬을 사용하였다. 대상 및 방법 : 필름을 통해 측정된 선량분포와 컴퓨터를 통해 구해진 선량분포를 각각 5mm 간격과 lmm 간격의 해상도로 컴퓨터를 이용해 2 차원 선량분포로 구현한다. 그 후 두 선량분포사이의 차이를 각 선량분 포의 원점을 일치시킨 후 구해낸다. 이때 일반적으로 두 선량분포 사이의 차이는 선량의 기울기가 큰 영역에서 상당히 크게 나타나게 되는데 이것은 측정 장비의 원점을 구하는 과정에서 발생되는 이차원 상의 미세한 원점의 불일치 효과로 선량의 차이가 선량의 기울기가 큰 영역에서 더욱 커지기 때문이다. 이 불일치를 보정하기 위해서, 측정된 선량분포를 계산된 선량분포 위에서 lmm 간격으로 이동시켜가면서 선량의 차이를 계산하여 이 값이 최소가 되는 위치를 확인한다. 이때의 이동치는 가속기가 갖는 허용오차 이내에 있어야 하며 이 값은 2mm로 알려져 있다. 이 과정과는 독립적으로 이온 챔버를 통해 측정된 절대선량 값을 이용하여 두 선량분포 사이를 재 규격화한 뒤 차이를 구하게 되면 우리는 5mm 간격의 2 차원 절대선량 분포 비교를 실험상의 오차들 중 가장 크게 작용하는 원점 오차로 인한 오차를 제거한 뒤 수행한 것과 같은 결과를 얻게 된다. 여기서 계산된 선량분포의 해상도는 장비의 허용오차 보다 항상 작아야 한다. 결과 : 머리와 목에 환부를 갖는 여러 환자들에 대한 선량분포 비교 결과를 통해서, 측정된 선량분포와 계산된 선량분포사이의 허용오차 범위에 대한 일시적 기준을 마련하였다. 이 기준은 물론 더 많은 환자들에 대한 선량분포 비교를 통해 개선되어질 수 있다. 결론 : 측정 장비의 원점 불일치의 보정뿐만 아니라 측정 장비의 회전에 의한 오차 보정, 필름의 광학적 밀도에 관한 보정 등 여러 가지 계통적 오차들에 대한 보정들이 선량분포 확인과정의 이해와 그 기준마련에 도움이 되겠지만 우리가 다룬 원점 불일치에 비해서 상대적으로 무시할 수 있었다. 마지막으로 선량분포 확인의 최종목표인 3 차원 선량분포 확인의 실제 적용을 위한 연구가 최적화 알고리듬을 이용하여 실험 중에 있다.

• The Journal of Korean Society for Radiation Therapy
• /
• v.26 no.2
• /
• pp.207-216
• /
• 2014

Purpose : We present a method to reduce this gap and complete the treatment plan, to be made by the re-optimization is performed in the same conditions as the initial treatment plan different from Monaco treatment planning system. Materials and Methods : The optimization is carried in two steps when performing the inverse calculation for volumetric modulated radiation therapy or intensity modulated radiation therapy in Monaco treatment planning system. This study was the first plan with a complete optimization in two steps by performing all of the treatment plan, without changing the optimized condition from Step 1 to Step 2, a typical sequential optimization performed. At this time, the experiment was carried out with a pencil beam and Monte Carlo algorithm is applied In step 2. We compared initial plan and re-optimized plan with the same optimized conditions. And then evaluated the planning dose by measurement. When performing a re-optimization for the initial treatment plan, the second plan applied the step optimization. Results : When the common optimization again carried out in the same conditions in the initial treatment plan was completed, the result is not the same. From a comparison of the treatment planning system, similar to the dose-volume the histogram showed a similar trend, but exhibit different values that do not satisfy the conditions best optimized dose, dose homogeneity and dose limits. Also showed more than 20% different in comparison dosimetry. If different dose algorithms, this measure is not the same out. Conclusion : The process of performing a number of trial and error, and you get to the ultimate goal of treatment planning optimization process. If carried out to optimize the completion of the initial trust only the treatment plan, we could be made of another treatment plan. The similar treatment plan could not satisfy to optimization results. When you perform re-optimization process, you will need to apply the step optimized conditions, making sure the dose distribution through the optimization process.

• The Journal of Korean Society for Radiation Therapy
• /
• v.26 no.1
• /
• pp.11-19
• /
• 2014

Purpose : To derive the most appropriate factors by considering the effects of the major factors when applied to the optimization algorithm, thereby aiding the effective designing of a ideal treatment plan. Materials and Methods : The eclipse treatment planning system(Eclipse 10.0, Varian, USA) was used in this study. The PBC (Pencil Beam Convolution) algorithm was used for dose calculation, and the DVO (Dose Volume Optimizer 10.0.28) Optimization algorithm was used for intensity modulated radiation therapy. The experimental group consists of patients receiving intensity modulated radiation therapy for the head and neck cancer and dose prescription to two planned target volume was 2.2 Gy and 2.0 Gy simultaneously. Treatment plan was done with inverse dose calculation methods utilizing 6 MV beam and 7 fields. The optimal algorithm parameter of the established plan was selected based on volume dose-priority(Constrain), dose fluence smooth value and the impact of the treatment plan was analyzed according to the variation of each factors. Volume dose-priority determines the reference conditions and the optimization process was carried out under the condition using same ratio, but different absolute values. We evaluated the surrounding normal organs of treatment volume according to the changing conditions of the absolute values of the volume dose-priority. Dose fluence smooth value was applied by simply changing the reference conditions (absolute value) and by changing the related volume dose-priority. The treatment plan was evaluated using Conformal Index, Paddick's Conformal Index, Homogeneity Index and the average dose of each organs. Results : When the volume dose-priority values were directly proportioned by changing the absolute values, the CI values were found to be different. However PCI was $1.299{\pm}0.006$ and HI was $1.095{\pm}0.004$ while D5%/D95% was $1.090{\pm}1.011$. The impact on the prescribed dose were similar. The average dose of parotid gland decreased to 67.4, 50.3, 51.2, 47.1 Gy when the absolute values of the volume dose-priority increased by 40,60,70,90. When the dose smooth strength from each treatment plan was increased, PCI value increased to $1.338{\pm}0.006$. Conclusion : The optimization algorithm was more influenced by the ratio of each condition than the absolute value of volume dose-priority. If the same ratio was maintained, similar treatment plan was established even if the absolute values were different. Volume dose-priority of the treatment volume should be more than 50% of the normal organ volume dose-priority in order to achieve a successful treatment plan. Dose fluence smooth value should increase or decrease proportional to the volume dose-priority. Volume dose-priority is not enough to satisfy the conditions when the absolute value are applied solely.

• The Journal of Korean Society for Radiation Therapy
• /
• v.24 no.2
• /
• pp.137-147
• /
• 2012

Purpose: Analyze the Effectiveness of Radiation Treatment Planning by dose calculation and optimization algorithm, apply consideration of actual treatment planning, and then suggest the best way to treatment planning protocol. Materials and Methods: The treatment planning system use Eclipse 10.0. (Varian, USA). PBC (Pencil Beam Convolution) and AAA (Anisotropic Analytical Algorithm) Apply to Dose calculation, DVO (Dose Volume Optimizer 10.0.28) used for optimized algorithm of Intensity Modulated Radiation Therapy (IMRT), PRO II (Progressive Resolution Optimizer V 8.9.17) and PRO III (Progressive Resolution Optimizer V 10.0.28) used for optimized algorithm of VAMT. A phantom for experiment virtually created at treatment planning system, $30{\times}30{\times}30$ cm sized, homogeneous density (HU: 0) and heterogeneous density that inserted air assumed material (HU: -1,000). Apply to clinical treatment planning on the basis of general treatment planning feature analyzed with Phantom planning. Results: In homogeneous density phantom, PBC and AAA show 65.2% PDD (6 MV, 10 cm) both, In heterogeneous density phantom, also show similar PDD value before meet with low density material, but they show different dose curve in air territory, PDD 10 cm showed 75%, 73% each after penetrate phantom. 3D treatment plan in same MU, AAA treatment planning shows low dose at Lung included area. 2D POP treatment plan with 15 MV of cervical vertebral region include trachea and lung area, Conformity Index (ICRU 62) is 0.95 in PBC calculation and 0.93 in AAA. DVO DVH and Dose calculation DVH are showed equal value in IMRT treatment plan. But AAA calculation shows lack of dose compared with DVO result which is satisfactory condition. Optimizing VMAT treatment plans using PRO II obtained results were satisfactory, but lower density area showed lack of dose in dose calculations. PRO III, but optimizing the dose calculation results were similar with optimized the same conditions once more. Conclusion: In this study, do not judge the rightness of the dose calculation algorithm. However, analyzing the characteristics of the dose distribution represented by each algorithm, especially, a method for the optimal treatment plan can be presented when make a treatment plan. by considering optimized algorithm factors of the IMRT or VMAT that needs to optimization make a treatment plan.

• Progress in Medical Physics
• /
• v.11 no.1
• /
• pp.49-57
• /
• 2000

New method about the dose optimization problem in radiation treatment was researched. Since all conditions are more complex and there are more relevant variables, the solution of three-dimensional treatment planning is much more complicate than that of current two-dimensional one. There(ore, in this study, as a method to solve three-dimensional dose optimization problem, the considered variables was minized and researched by reducing the domain that solutions can exist and pre-determining the important beam parameters. First, the dangerous beam range that passes critical organ was found by coordinate transformation between linear accelerator coordinate and patient coordinate. And the beam size and rotation angle for rectangular collimator that conform tumor at arbitrary beam position was also determined. As a result, the available beam position could be reduced and the dependency on beam size and rotation angle, that is very important parameter in treatment planning, totally removed. Therefore, the resultant combinations of relevant variables could be greatly reduced and the dose optimization by objective function can be done with minimum variables. From the above results, the dose optimization problem was solved for the two-dimensional radiation treatment planning useful in clinic. The objective function was made by combination of dose gradient, critical organ dose and dose homogeniety. And the optimum variables were determined by applying step search method to objective function. From the dose distributions by optimum variables, the merit of new dose optimization method was verified and it can be implemented on commercial radiation treatment planning system with further research.

• Radiation Oncology Journal
• /
• v.23 no.3
• /
• pp.176-185
• /
• 2005

Purpose: Film dosimetry as a part of patient specific intensity modulated radiation therapy quality assurance (IMRT QA) was peformed to develop a new optimization method of film isocenter offset and to then suggest new quantitative criteria for film dosimetry. Materials and Methods: Film dosimetry was peformed on 14 IMRT patients with head and neck cancers. An optimization method for obtaining the local minimum was developed to adjust for the error in the film isocenter offset, which is the largest part of the systemic errors. Results: The adjust value of the film isocenter offset under optimization was 1 mm in 12 patients, while only two patients showed 2 mm translation. The means of absolute average dose difference before and after optimization were 2.36 and $1.56\%$, respectively, and the mean ratios over a $5\%$ tolerance were 9.67 and $2.88\%$. After optimization, the differences in the dose decreased dramatically. A low dose range cutoff (L-Cutoff) has been suggested for clinical application. New quantitative criteria of a ratio of over a $5\%$, but less than $10\%$ tolerance, and for an absolute average dose difference less than $3\%$ have been suggested for the verification of film dosimetry. Conclusion: The new optimization method was effective in adjusting for the film dosimetry error, and the newly quantitative criteria suggested in this research are believed to be sufficiently accurate and clinically useful.

• Progress in Medical Physics
• /
• v.8 no.2
• /
• pp.27-34
• /
• 1997

In radiation therapy, the goal of three dimensional conformal radiation therapy(3DCRT) is to conform the apatial distribution of the prescribed radiation dose to the precise 3D configuration of the tomor, and at the same time, to minimize the dose to the surrounding normal tissues. To optimize treatment volume of tomor, treatment volume will be same tomor volume. Biological considerations need to be incorporated in the intensity modulation optimization process. Planning of intensity modulated treatment can irradiate more 20％ in tomor compare to conventional 3DCRT. In lung cancer and rectal cancer, planning of intensity modulated treatment showed optimizing dose distribution.

• Proceedings of the Korean Society of Medical Physics Conference
• /
• 2003.09a
• /
• pp.34-34
• /
• 2003

목적 : 폐암 환자 세기변조방사선치료 과정을 소개하고, 방사선치료계획의 최적화를 위한 빔 수와 방향, 가상장기 설정 (virtual organ delineation, VOD) 및 선량 제한 인자들의 이용에 대해 평가함으로써 폐, 심장 등에 조사되는 선량을 최소화하는데 사용하는 세기변조방사선치료 (intensity modulated radiotherapy, IMRT) 기술의 유용성을 평가하고자한다. 대상 및 방법 : 종양이 종격동을 침범하여 상대적으로 장기움직임에 의한 오차가 적은 폐암환자 5 명을 대상으로 하였다. 환자고정장치는 상반신을 편안하게 유지함과 동시에 팔의 위치를 고정시킴으로써 기대할 수 있는 환자고정효과와 벨트를 이용하여 환자 상복부를 압박해줌으로써 호흡운동에 의한 장기 움직임을 감소시킬 수 있는 형태로 고안하였다. 치료계획시 빔 수와 방향은 5,7,9 문 (from 200 to 160, equispaced field, arbitrary field), 4 문 (anterior, posterior, bilateral posterior oblique field) 과 비등방 7, 9 문 (non-equispaced field, arbitrary field) 등을 사용하였다. 선량제한 ($V_{20}V_{25}$)은 문헌에 기초하여 설정하였으며, 가상장기를 적절히 사용하여 최적화된 치료계획 결과를 얻었다. 방사선치료계획 평가는 선량-체적간 히스토그람 (DVH), 등선량곡선 및 선량통계 등을 이용하여 수행하였다. 특히 가상장기 설정 전, 후의 결과 값을 분석함으로써 그 유용성을 확인하였다. 결과 : 9문 등방-IMRT와 7문 비등방-IMRT 방법이 치료계획용적의 선량균질성 (PTV dose homogeneity), 평균 폐선량 (mean lung dose) 및 $V_{20}V_{25}$ 모두에서 20% 이내의 좋은 결과를 얻을 수 있었고, 가상 장기를 설정함으로써 같은 결과를 가져옴을 알 수 있었다. 또한 폐암 세기변조방사선치료 프로토콜을 작성하여 임상에 사용함으로써 치료과정 중 발생할 수 있는 오류를 보완할 수 있음을 알 수 있었다. 결론 : 폐암 세기변조방사선치료 시 사용할 수 있는 프로토콜을 작성하였고, 적절한 가상 장기 및 조사계획 설정으로 치료계획의 최적화를 얻을 수 있음을 알 수 있었다.

• Journal of Radiation Protection and Research
• /
• v.21 no.4
• /
• pp.329-338
• /
• 1996

최근에 우리나라가 공식 회원국으로 가입한 서방 경제협력개발기구(OECD)/원자력기구(NEA) 산하의 방사선 방호 및 보건위원회(CRPPH)에서는 유럽연합(EC)의 전문가그룹과 합동으로 국제방사선방호위원회(ICRP)의 권고 60의 방사선 방호 최적화 원칙에 공식적으로 도입된 이른 바 '선량제약(dose constraint)' 개념에 대한 위원회의 논의 및 검토결과를 OECD/NEA의 공식보고서로 발간하였다. 이 보고서는 선량제약의 개념과 의미를 논리적으로 합리화하기 위하여 발간된 것이다. 선량제약이란 용어와 개념은 새로워 보이지만 실상은 전혀 새로운 것이 아니다. 우리나라에서도 방사선 방호의 실무현장에서 용어나 의미는 조금 다르다 할 수 있어도 이 개념을 부분적으로 적용해왔다고 할 수 있다. 예를 들어, 선량한도 이하의 낮은 선량으로 작업자의 피폭을 제한하기 위하여 도입된 '연간 선량목표치' 또는 '방사성 물질의 방출목표관리치' 등이 여기에 해당될 것이다. 따라서, OECD/NEA의 공식보고서를 번역한 이 해설논문이 국내의 방사선 방호분야에서 활약하고 있는 정책 입안자, 연구자, 규제업무자, 방사선 관리실무자 등 방사선 방호 업무분야의 관련자들에게 도움이 되었으면 한다.