• Journal of Radiation Protection and Research
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• 제28권1호
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• pp.59-63
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• 2003

Purpose : Measurement of transmission dose is useful for in vivo dosimetry of QA purpose. The objective of this study is to develope an algorithm for estimation of tumor dose using measured transmission dose for open radiation field. Materials and Methods : Transmission dose was measured with various field size (FS), phantom thickness (Tp), and phantom chamber distance (PCD) with a acrylic phantom for 6 MV and 10 MV X-ray Source to chamber distance (SCD) was set to 150 cm. Measurement was conducted with a 0.6 cc Farmer type ion chamber. Using measured data and regression analysis, an algorithm was developed for estimation of expected reading of transmission dose. Accuracy of the algorithm was tested with flat solid phantom with various settings. Results : The algorithm consisted of quadratic function of log(A/P) (where A/P is area-perimeter ratio) and tertiary function of PCD. The algorithm could estimate dose with very high accuracy for open square field, with errors within ${\pm}0.5%$. For elongated radiation field, the errors were limited to ${\pm}1.0%$. Conclusion : The developed algorithm can accurately estimate the transmission dose in open radiation fields with various treatment settings.

• 대한방사선치료학회지
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• 제24권1호
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• pp.11-14
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• 2012

목 적: Anisotropic Analytical Algorithm (AAA)는 Pencil Beam Convolution (PBC) 알고리즘에 비하여 2차선과 조직 불 균질에 대한 영향에 보다 더 정확한 선량계산을 제공한다. 본 연구는 유방암 접선조사 치료계획에서 PBC 알고리즘과 AAA의 선량계산 알고리즘에 따른 선량분포의 차이를 분석하고자 한다. 대상 및 방법: 선형가속기(CL-6EX, VARIAN, USA)의 6 MV 에너지를 이용한 유방암 환자 10명을 대상으로 Eclipse treatment planning system (Version 8.9, VARIAN, USA)을 사용하여 전산화 치료계획을 수립하였다. Conventional Radiation Therapy plan(Conventional plan)과 Field-in-Field Intensity Modulated Radiation Therapy plan (FiF plan)을 PBC 알고리즘을 이용하여 치료계획을 수립한 후 Monitor Unit (MU)를 고정시키고 AAA로 변경하여 선량계산하고, Dose Volume Histogram (DVH)을 이용하여 치료계획을 비교 분석하였다. 결 과: 첫 번째, Conventional plan의 PBC 알고리즘과 AAA에 따른 차이를 평가한 결과 치료용적에 대한 평균 Conformity Index (CI) 값의 차이는 PBC 알고리즘에서 0.295 높게 평가 되었다. 동측 폐에 대한 선량을 평가한 결과 $V_{47Gy}$과 $V_{45Gy}$는 PBC알고리즘에서 각각 5.83%, 4.04% 높게 평가되었고, Mean dose, $V_{20Gy}$, $V_{5Gy}$, $V_{3Gy}$는 AAA에서 각각 0.6%, 0.29%, 6.35%, 10.23%높게 평가되었다. 두 번째, FiF plan의 경우 치료용적에 대한 평균 CI 값의 차이는 PBC 알고리즘에서 0.165 높게 평가 되었고, 동측 폐에 대한 선량은 $V_{47Gy}$, $V_{45Gy}$, Mean dose는 PBC 알고리즘에서 각각 6.17%, 3.80%, 0.15% 높게 평가되었고, $V_{20Gy}$, $V_{5Gy}$, $V_{3Gy}$는 AAA에서 각각 0.14%, 4.07%, 4.35% 높게 평가되었다. 결 론: 유방암 접선조사에서 AAA로 계산했을 때, PBC 알고리즘에 비해 치료용적에 대한 Conformity가 Conventional plan, FiF plan 각각 0.295, 0.165 낮게 평가 되며, 동측 폐의 고 선량 영역의 선량은 적게 나타나며, 저 선량 영역의 선량은 많게 나타므로 폐에 대한 선량을 평가하는 데 선량계산 알고리즘에 따른 특징을 고려해야 할 것으로 사료된다.

• 한국의학물리학회지:의학물리
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• 제27권4호
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• pp.180-188
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• 2016

Acuros XB advanced dose calculation algorithm (AXB, Varian Medical Systems, Palo Alto, CA) has been released recently and provided the advantages of speed and accuracy for dose calculation. For clinical use, it is important to investigate the dosimetric performance of AXB compared to the calculation algorithm of the previous version, Anisotropic Analytical Algorithm (AAA, Varian Medical Systems, Palo Alto, CA). Ten volumetric modulated arc therapy (VMAT) plans for each of the following cases were included: head and neck (H&N), prostate, spine, and lung. The spine and lung cases were treated with stereotactic body radiation therapy (SBRT) technique. For all cases, the dose distributions were calculated using AAA and two dose reporting modes in AXB (dose-to-water, $AXB_w$, and dose-to-medium, $AXB_m$) with same plan parameters. For dosimetric evaluation, the dose-volumetric parameters were calculated for each planning target volume (PTV) and interested normal organs. The differences between AAA and AXB were statistically calculated with paired t-test. As a general trend, $AXB_w$ and $AXB_m$ showed dose underestimation as compared with AAA, which did not exceed within -3.5% and -4.5%, respectively. The maximum dose of PTV calculated by $AXB_w$ and $AXB_m$ was tended to be overestimated with the relative dose difference ranged from 1.6% to 4.6% for all cases. The absolute mean values of the relative dose differences were $1.1{\pm}1.2%$ and $2.0{\pm}1.2%$ when comparing between AAA and $AXB_w$, and AAA and $AXB_m$, respectively. For almost dose-volumetric parameters of PTV, the relative dose differences are statistically significant while there are no statistical significance for normal tissues. Both $AXB_w$ and $AXB_m$ was tended to underestimate dose for PTV and normal tissues compared to AAA. For analyzing two dose reporting modes in AXB, the dose distribution calculated by $AXB_w$ was similar to those of AAA when comparing the dose distributions between AAA and $AXB_m$.

• 대한방사선기술학회지:방사선기술과학
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• 제47권1호
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• pp.39-48
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• 2024

In this study, we optimized the FNLM algorithm through a simulation study and applied it to a phantom scanned by low-dose CT to evaluate whether the FNLM algorithm can be used to obtain improved image quality images. We optimized the FNLM algorithm with MASH phantom and FASH phantom, which the algorithm was applied with MATLAB, increasing the smoothing factor from 0.01 to 0.05 with increments of 0.001 and measuring COV, RMSE, and PSNR values of the phantoms. For both phantom, COV and RMSE decreased, and PSNR increased as the smoothing factor increased. Based on the above results, we optimized a smoothing factor value of 0.043 for the FNLM algorithm. Then we applied the optimized FNLM algorithm to low dose lung CT and lung CT under normal conditions. In both images, the COV decreased by 55.33 times and 5.08 times respectively, and we confirmed that the quality of the image of low dose CT applying the optimized FNLM algorithm was 5.08 times better than the image of lung CT under normal conditions. In conclusion, we found that the smoothing factor of 0.043 among the factors of the FNLM algorithm showed the best results and validated the performance by reducing the noise in the low-quality CT images due to low dose with the optimized FNLM algorithm.

• 한국의학물리학회지:의학물리
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• 제32권4호
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• pp.130-136
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• 2021

Purpose: The Halcyon radiotherapy platform at Groote Schuur Hospital was delivered with a factory-configured analytical anisotropic algorithm (AAA) beam model for dose calculation. In a recent system upgrade, the Acuros XB (AXB) algorithm was installed. Both algorithms adopt fundamentally different approaches to dose calculation. This study aimed to compare the dose distributions of cervical carcinoma RapidArc plans calculated using both algorithms. Methods: A total of 15 plans previously calculated using the AAA were retrieved and recalculated using the AXB algorithm. Comparisons were performed using the planning target volume (PTV) maximum (max) and minimum (min) doses, D95%, D98%, D50%, D2%, homogeneity index (HI), and conformity index (CI). The mean and max doses and D2% were compared for the bladder, bowel, and femoral heads. Results: The AAA calculated slightly higher targets, D98%, D95%, D50%, and CI, than the AXB algorithm (44.49 Gy vs. 44.32 Gy, P=0.129; 44.87 Gy vs. 44.70 Gy, P=0.089; 46.00 Gy vs. 45.98 Gy, P=0.154; and 0.51 vs. 0.50, P=0.200, respectively). For target min dose, D2%, max dose, and HI, the AAA scored lower than the AXB algorithm (41.24 Gy vs. 41.30 Gy, P=0.902; 47.34 Gy vs. 47.75 Gy, P<0.001; 48.62 Gy vs. 50.14 Gy, P<0.001; and 0.06 vs. 0.07, P=0.002, respectively). For bladder, bowel, and left and right femurs, the AAA calculated higher mean and max doses. Conclusions: Statistically significant differences were observed for PTV D2%, max dose, HI, and bowel max dose (P>0.05).

• 대한방사선치료학회지
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• 제24권2호
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• pp.137-147
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• 2012

목 적: 알고리즘에 따른 치료계획의 영향을 분석하고 실제 치료계획을 수립할 때 고려사항을 적용하고, 나아가 최선의 치료계획을 수립하는 프로토콜을 제시하고자 한다. 대상 및 방법: 치료계획 시스템은 이클립스 10.0 (Eclipse 10.0, Varian, USA)이다. 선량계산의 알고리즘은 PBC (Pencil Beam Convolution)와 AAA (Anisotropic Analytical Algorithm)을 각각 적용하였고, 세기 조절 방사선 치료(IMRT)를 위한 최적화(Optimization) 알고리즘은 DVO (Dose Volume Optimizer 10.0.28), VMAT을 위한 최적화 알고리즘은 PRO II (Progressive Resolution Optimizer V 8.9.17)와 PRO III (Progressive Resolution Optimizer V 10.0.28)을 사용하였다. 실험을 위한 팬텀은 치료계획시스템에서 가상으로 만들었으며, $30{\times}30{\times}30$ cm의 규격에 밀도가 균일한 것(HU: 0)과 중간에 공기(HU: -1,000)로 가정되는 물질이 삽입한 된 비균질 팬텀으로 설정하였다. 실험은 먼저 팬텀(Phantom) 계획을 실시하여 일반적인 치료계획의 특징을 분석하고 그 내용을 토대로 실제 임상적용 할 치료계획을 수립하였다. 결 과: 균일한 밀도 팬텀에서 6 MV, 10 cm PDD (Percentage Depth Dose)는 PBC와 AAA는 모두 65.2%로 유사한 값을 나타냈지만, 비균질 팬텀에서 PDD는 저밀도 물질을 만나기 전까진 유사한 PDD 값을 보이다가 공기 영역에서 다른 선량곡선을 보여주고, 투과한 후에는 PDD 10 cm은 각각 75%, 73%이었다. 동일한 MU의 3차원 치료계획에서 보면, AAA 치료계획이 폐가 포함된 영역에서 저 선량으로 나타났다. 기관지와 폐의 영역이 포함된 경추 치료 환자의 2차원 대향 2문조사 치료계획을 15 MV을 이용하여 설계하였을 때, Conformity Index (ICRU 62)는 PBC 계산에서 0.95, AAA에서 0.93이었다. IMRT 치료계획은 DVO에서 보여지는 DVH가 선량계산 DVH와 동일하게 나타났다. 하지만 AAA으로 선량계산을 하였을 때는 DVO에서 조건을 만족하는 결과가 선량계산에서는 선량부족으로 나타났다. PRO II을 이용한 VMAT 치료계획은 최적화 할 때는 만족스런 결과를 얻었지만, 선량계산을 실시하였을 때는 저밀도 영역이 선량 부족으로 나타났다. 하지만 PRO III에서 같은 조건을 1회 더 최적화함으로써 최적화 결과와 선량계산 결과가 유사하였다. 결 론: 본 연구에서는 선량계산 알고리즘의 옳고 그름을 판단하지 않는다. 알고리즘이 나타내는 선량 분포의 특성을 분석하고, 특히 최적화가 필요한 IMRT나 VMAT 치료계획에서 최적화 알고리즘의 요인도 치료계획을 수립할 때 고려함으로써 최적의 치료계획을 위한 방법을 제시하고자 한다.

• Nuclear Engineering and Technology
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• 제55권5호
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• pp.1838-1854
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• 2023

This paper presents a hybrid algorithm to solve the multi-objective path planning (MOPP) problem for mobile robots in a static nuclear accident environment. The proposed algorithm mimics a real nuclear accident site by modeling the environment with a two-layer cost grid map based on geometric modeling and Monte Carlo calculations. The proposed algorithm consists of two steps. The first step optimizes a path by the hybridization of improved ant colony optimization algorithm-modified A^* (IACO-A^*) that minimizes path length, cumulative radiation dose and energy consumption. The second module is the high radiation dose rate avoidance strategy integrated with the IACO-A^* algorithm, which will work when the mobile robots sense the lethal radiation dose rate, avoiding radioactive sources with high dose levels. Simulations have been performed under environments of different complexity to evaluate the efficiency of the proposed algorithm, and the results show that IACO-A^* has better path quality than ACO and IACO. In addition, a study comparing the proposed IACO-A^* algorithm and recent path planning (PP) methods in three scenarios has been performed. The simulation results show that the proposed IACO-A^* IACO-A^* algorithm is obviously superior in terms of stability and minimization the total cost of MOPP.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2003년도 제27회 추계학술대회
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• pp.41-41
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• 2003

Purpose: Even if the wedge filter is widely used for the radiation therapy to modify the photon beam intensity, the wedged photon beam dose calculation is not so easy. Radiation therapy planning systems (RTPS) have been used the empirical or semi-analytical methods such as attenuation method using wedge filter parameters or wedge filter factor obtained from measurement. However, these methods can cause serious error in penumbra region as well as in edge region. In this study, we propose the dose calculation algorithm for wedged field to minimize the error especially in the outer beam region. Materials and Method: Modified intensity by wedge filter was calculated using tissue-maximum ratio (TMR) and scatter-maximum ratio (SMR) of wedged field. Profiles of wedged and non-wedged direction was also used. The result of new dose calculation was compared with measurement and the result from attenuation method. Results: Proposed algorithm showed the good agreement with measurement in the high dose-gradient region as well as in the inner beam region. The error was decreased comparing to attenuation method. Conclusion: Although necessary beam data for the RTPS commissioning was increased, new algorithm would guarantee the improved dose calculation accuracy for wedged field. In future, this algorithm could be adopted in RTPS.

• 대한방사선기술학회지:방사선기술과학
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• 제46권6호
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• pp.527-533
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• 2023

The purpose of this study is to evaluate the clinical risk of spinal radiosurgery by calculating the dose difference due to dose calculation algorithm and multi-leaf collimator positioning error. The images acquired by the CT simulator were recalculated by correcting the multi-leaf collimator position in the dose verification program created using MATLAB and applying stoichiometric calibration and Monte Carlo algorithm. With multi-leaf collimator positioning error, the clinical target volume (CTV) showed a dose difference of up to 13% in the dose delivered to the 95% volume, while the gross tumor volume (GTV) showed a dose difference of 9%. The average dose delivered to the total volume showed dose variation from -8.9% to 9% and -10.1% to 10.2% for GTV and CTV, respectively. The maximum dose delivered to the total volume of the spinal cord showed a dose difference from -14.2% to 19.6%, and the dose delivered to the 0.35 ㎤ volume showed a dose difference from -15.5% to 19.4%. In future research, automating the linkage between treatment planning systems and dose verification programs would be useful for spinal radiosurgery.

• Journal of the Korean Physical Society
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• 제73권10호
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• pp.1571-1576
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• 2018

We developed and evaluated an algorithm to calculate the target radiation dose in cancer patients by measuring the transmitted dose during 3D conformal radiation treatment (3D-CRT) treatment. The patient target doses were calculated from the transit dose, which was measured using a glass dosimeter positioned 150 cm from the source. The accuracy of the transit dose algorithm was evaluated using a solid water phantom for five patient treatment plans. We performed transit dose-based patient dose verification during the actual treatment of 34 patients who underwent 3D-CRT. These included 17 patients with breast cancer, 11 with pelvic cancer, and 6 with other cancers. In the solid water phantom study, the difference between the transit dosimetry algorithm with the treatment planning system (TPS) and the measurement was $-0.10{\pm}1.93%$. In the clinical study, this difference was $0.94{\pm}4.13%$ for the patients with 17 breast cancers, $-0.11{\pm}3.50%$ for the eight with rectal cancer, $0.51{\pm}5.10%$ for the four with bone cancer, and $0.91{\pm}3.69%$ for the other five. These results suggest that transit-dosimetry-based in-room patient dose verification is a useful application for 3D-CRT. We expect that this technique will be widely applicable for patient safety in the treatment room through improvements in the transit dosimetry algorithm for complicated treatment techniques (including intensity modulated radiation therapy (IMRT) or volumetric modulated arc therapy (VMAT).