Literature DB >> 26699303

Evaluation of monitor unit calculation based on measurement and calculation with a simplified Monte Carlo method for passive beam delivery system in proton beam therapy.

Kenji Hotta1, Ryosuke Kohno, Kohsuke Nagafuchi, Hidenori Yamaguchi, Ryohei Tansho, Yoshihisa Takada, Tetsuo Akimoto.   

Abstract

Calibrating the dose per monitor unit (DMU) for individual patients is important to deliver the prescribed dose in radiation therapy. We have developed a DMU calculation method combining measurement data and calculation with a simplified Monte Carlo method for the double scattering system in proton beam therapy at the National Cancer Center Hospital East in Japan. The DMU calculation method determines the clinical DMU by the multiplication of three factors: a beam spreading device factor FBSD, a patient-specific device factor FPSD, and a field-size correction factor FFS(A). We compared the calculated and the measured DMU for 75 dose fields in clinical cases. The calculated DMUs were in agreement with measurements in ± 1.5% for all of 25 fields in prostate cancer cases, and in ± 3% for 94% of 50 fields in head and neck (H&N) and lung cancer cases, including irregular shape fields and small fields. Although the FBSD in the DMU calculations is dominant as expected, we found that the patient-specific device factor and field-size correction also contribute significantly to the calculated DMU. This DMU calculation method will be able to substitute the conventional DMU measurement for the majority of clinical cases with a reasonable calculation time required for clinical use.

Entities:  

Mesh:

Year:  2015        PMID: 26699303      PMCID: PMC5690152          DOI: 10.1120/jacmp.v16i5.5419

Source DB:  PubMed          Journal:  J Appl Clin Med Phys        ISSN: 1526-9914            Impact factor:   2.102


I. INTRODUCTION

Calibrating the dose per monitor unit (DMU) for individual patients is important to deliver the prescribed dose in radiation therapy. The DMU is defined as a ratio of irradiated dose at the isocenter to an amount of charge in an ionization reference chamber expressed in monitor units. This DMU for proton beam therapy depends on patient‐specific beam conditions, such as beam energy, the width of spread‐out Bragg peak (SOBP), the thickness of range shifter (RS), the shapes of a range compensator, and an aperture collimator. For patient‐specific beam conditions, most proton therapy facilities have been obtaining the DMU not by calculation in the treatment planning system, but by measurement in a water‐equivalent phantom representing the treatment condition. This is because it is difficult to accurately simulate the behavior of protons passing through complex combination of beam delivery devices and entering into the patient with possible lateral heterogeneity. Additionally, it takes much time and labor at present to measure the DMU for patient‐specific proton fields in clinical routine. For DMU calculations, Kooy et al. , developed a semi‐empirical calculation method for a range modulated proton beam. It is based on the fact that the DMU depends on the ratio of the entrance dose and the reference dose. They obtained a result that the DMU depends on a single factor (R ‐ M) / M, where R is the distal range and M is modulation width. On the other hand, Sahoo et al. calculated the DMU based on measurements of dose at isocenter in various conditions of beam delivery devices. They expressed the DMU as a product of eight factors that are based on measurements for sampled conditions. The calculation accuracy of their method was within 2% for 99% of 623 distinct fields. Their methods calculate the DMU in homogeneous water‐equivalent phantoms, not in heterogeneous media such as a patient. Currently, approaches with Monte Carlo simulations have been studied to improve accuracy of proton dose prediction in tissue heterogeneity. , , , , , From these studies, it was found that the DMU calculation method should consider the effect of heterogeneous media such as a patient and a range compensator in proton therapy in the same way heterogeneous correction is required for DMU calculation in photon therapy. Thus, we expect that the DMU calculation with the Monte Carlo method has a potential of solving these problems. However, since it takes much time to calculate the DMU with the full Monte Carlo method, reduction of calculation time is required to apply the Monte Carlo method for calculating the DMU in a patient routinely. Meanwhile, we have already developed a simplified Monte Carlo (SMC) method, with which we can quickly calculate dose distributions accurately. , In this paper, looking ahead to calculate the DMU in heterogeneous media as a final goal, we have developed, at present, a new DMU calculation method in a uniform phantom with the SMC method for the double scattering system of National Cancer Center Hospital East (NCCHE). We show results of comparison between the calculated and the measured DMUs in a water‐equivalent phantom for 75 clinical cases.

II. MATERIALS AND METHODS

A. Beam line

We measured and calculated proton dose distributions formed by the double scattering system of NCCHE. We used a proton beam with one of the energies 235, 190 or 150 MeV provided by a 235 MeV proton cyclotron and an energy selection system comprised of carbon degraders and a beam collimator. A treatment gantry with the double‐scattering system has beam‐shaping devices, as shown in Fig. 1. Thickness of the binary first scatterer and a type of second scatterer are determined by the proton energy. The maximum field size formed by the double‐scattering system is . A ridge filter is used to form a spread‐out Bragg peak (SOBP). The SOBP widths can be selected from 30 mm to 100 mm at intervals of 10 mm. A transmission dose monitor is placed downstream of the ridge filter and binary range shifter. A patient aperture collimator is placed downstream of a range compensator to sharpen the lateral dose falloff in the peripheral region of PTV.
Figure 1

Scheme of beam line arrangement.

Scheme of beam line arrangement.

B. Detectors

While a PTW 30013 was used for absolute dose measurement, a PTW 2D Array seven29 (PTW Freiburg GmbH, Freiburg, Germany) was used for relative dose measurements. The PTW 30013 is a Farmer type chamber with a sensitive volume of . It was used to measure the dose in a uniform water‐equivalent phantom under the uniform field conditions where patient‐specific devices (a range compensator and an aperture) were removed. For the patient‐specific QA, we measure the dose at the isocenter in a uniform water‐equivalent phantom under the nonuniform field condition with a patient aperture collimator and a range compensator. While the PTW 30013 was used for the field size larger than , the PTW 31015 was used for the field size smaller than . In this paper, data for fields more than were selected. The PTW 2D Array seven29 has 729 ionization chambers in a 10 mm pitch array. Spezi et al. reported the successful application of this detector to radiation therapy and verified the performance. The sensitive volume of a unit chamber is and the ionization chambers of the array are open to the air. The offset thickness from the entrance surface to the center of the sensitive volume was 8 mm in water‐equivalent length (WEL). The chamber array was used to measure the relative dose under both the uniform field condition and a possible nonuniform field condition that patient‐specific devices were inserted. To compare the calculations and measurements under the same conditions, we integrated the calculated dose distribution in a rectangular area with a detector cell size of for the PTW 30013 or for the PTW 2D Array seven29.

C. Calculation of DMU

In NCCHE, the DMU measurement in a patient‐specific condition is made with a patient‐specific aperture collimator and a range compensator, as shown in Fig. 1(b). To derive the DMU in the patient‐specific conditions by calculation, we defined the DMU in the patient‐specific conditions () as a product of the standard DMU () and a clinical beam delivering condition factor (). The is a DMU measured in our standard beam measurement (STD) conditions, as shown in Fig. 1(d). Details of the STD conditions are described in the Table 1. The can be written by multiplication of three factors: a beam‐spreading device factor (), a patient‐specific device factor (), and a field‐size correction factor () in the following way.
Table 1

Beam delivery and measurement conditions for STD, BSD, PSD, FS(A)

STD BSD PSD FS(A)
Energy190 MeVPatient‐specificPatient‐specificPatient‐specific
RS Thickness0 mmPatient‐specificPatient‐specific0 mm
SOBP Width80 mmPatient‐specificPatient‐specific80 mm
Collimator to Axis Distance300 mm300 mmPatient‐specific300 mm
Range CompensatorNonexistentNonexistentPatient‐specificNonexistent
Patient Collimator 185×185 mm2 185×185 mm2 Patient‐specific A×A mm2
TargetPhantomPhantomPhantomPhantom
Measurement PointCenter of SOBPCenter of SOBPPatient‐ specificCenter of SOBP
The subscripts STD, BSD, PSD, and FS in equations denote beam delivery and measurement conditions, respectively, as summarized in Table 1; the prefixes, meas and calc, of the subscripts in the equations denote that the value was obtained by either measurement or calculation. Beam delivery and measurement conditions for STD, BSD, PSD, FS(A) The represents the effect of commonly used devices, such as the first and second scatterers, a range shifter, and a SOBP filter, on the DMU. It is defined as a ratio of measured DMUs in the BSD condition, as shown in Fig. 1(c) to that in the STD condition. In the BSD condition, while the beam spreading devices are set in the same way as in the patient‐specific condition, a patient‐specific aperture collimator is replaced by a standard collimator (a collimator with a square aperture of ), and a range compensator is removed. The is obtained by measurements since the combination of parameters of commonly used devices are limited. The represents the effects of custom‐made devices for an individual patient (a patient‐specific aperture collimator and a range compensator) and an air‐gap between the collimator and the patient surface on the DMU. It is defined as a ratio of calculated DMUs by using the SMC in the BSD condition to that in the PSD condition, as shown in Fig. 1(b). In the PSD condition, all devices are set at a patient‐specific condition. The corrects the discrepancy of for the smaller field size. The effect is called a field‐size effect, as mentioned in the Materials & Methods section C.3 below. This factor is defined as a ratio of the measured field‐size factor to the calculated field‐size factor expressed as a function of the mean of distances between edge points of an aperture collimator and the isocenter. The (or ) is defined as a ratio of measured (or calculated) DMUs in the FS condition with square‐shaped aperture of “A” mm a side to that with square‐shaped aperture of 185 mm a side.

C.1 Measurement of beam spreading device factor:

The beam spreading device factor is a ratio of the to . We measured the in a polyethylene phantom at the position corresponding to the center of SOBP identical to the isocenter using the PTW 30013. The thickness of the phantom on the PTW 30013 was calculated by an equation: proton range ‐SOBP/2 ‐ RS)/WELR, where the SOBP and RS are the water‐equivalent width of spread‐out Bragg peak and the water‐equivalent thickness of the range shifter, respectively. The WELR is the water‐equivalent thickness ratio of the polyethylene phantom. We measured the for eight ridge filters with the SOBP width from 30 mm WEL to 100 mm WEL at intervals of 10 mm WEL for three energies. For each proton energy, the RS thickness was varied from 0 mm WEL to the maximum value up to 120 mm WEL at intervals of 10 mm or 20 mm WEL, depending on the width of the SOBP. Figure 2 shows the measurement results of the FBSD. All datasets were normalized by the dose at the isocenter in the STD condition. The decreased with an increase in the RS thickness and an increase in the SOBP width due to the following three reasons. Firstly, since the lower energy protons passing through the thicker RS deposit larger energy in the ionization reference chamber, the number of protons reaching the center of SOBP decreases for the same MU, resulting in decrease in . Secondly, a ridge filter with a larger SOBP width increases the average energy of protons reaching the isocenter, resulting in a decreased dose at the isocenter for the same MU. In addition, since average energy of protons entering into the ionization reference chamber decreases with an increase in the SOBP width, the number of protons reaching the center of SOBP decreases for the same MU. Thirdly, as the RS thickness and the SOBP width increases, more material is inserted in the beam course. Then proton scattering and nuclear interaction increase in the inserted material, resulting in decrease of proton fluence at the isocenter.
Figure 2

Change of for three energies.

Change of for three energies.

C.2 Calculation of patient‐specific device factor: FPSD

For DMUcalc,PSD and DMUcalc,BSD calculations, we used the simplified Monte Carlo method (SMC). , It tracks individual protons in a range compensator, an aperture collimator, and a phantom by calculating the range loss and scattering in materials using the water‐equivalent model and the Highlands's equation.(17) Scattering effect in commonly used devices is integrated and expressed by using the single Gaussian effective‐source model with the model parameters determined by measurements.(18,19) The measured depth‐dose distribution in water was used to obtain the relative dose deposit in a patient voxel. The voxel dimension in the phantom was taken as and the number of particles is determined so that the statistical error was less than 1%. To shorten the calculation time, we have adopted general‐purpose computing on graphics processing units (GPGPU) technique in this DMU calculation.(20) Since the calculation time is about 1 min for each proton field, this method is practical in clinical use.

C.3 Measurement of field‐size factor:

The field‐size factor is the ratio of to . We measured the at the isocenter in the FS setting for each of three energies, using a collimator with a square‐shaped aperture. We prepared five collimators with an aperture side of 40, 50, 70, 100, 185 mm and measured the for each of them. We also calculated the dose distributions under the same conditions. We used the SMC as stated above for calculations. The calculation voxel dimension in the phantom was taken as . The number of particles is determined so that the statistical error is less than 1%. Figure 3 shows the . Datasets for each of three energies were normalized to unity for the case where a collimator with an aperture side of 185 mm was used. The circles show the measurement results. The blue solid line shows the calculation results using the SMC. The red thick line shows the is the ratio of to . The is the measured DMU in the FS(A) condition normalized by the measured DMU in the FS(185) condition. The is the calculated one corresponding to the . The measurement results showed that the decreased with a decrease in the aperture size of the collimator for proton energies of 190 and 235 MeV. The decreases by about 5% when the aperture size of collimator varies from 185 mm to 40 mm for 235 MeV protons. While the measured aperture effect was less than 1% for protons with energies, 190 MeV and 150 MeV, it was significant for 235 MeV protons. On the other hand, the calculated was almost 1.0 for the collimator aperture size larger than 40 mm and began to decrease for the collimator aperture size less than 30 mm.
Figure 3

Comparison of calculation and measurement results for field‐size effect. The circles show the measurement results, the blue solid line shows the calculation results, and the red thick line shows the F(FS(A)) that is the ratio of measurement and calculation.

In general, the dose at the isocenter consists of on‐axis contribution from protons entering in the phantom along the beam central axis, and off‐axis contribution from protons entering in the phantom at neighboring positions of the beam central axis and reaching the isocenter due to the initial angular spread and scattering in the phantom. In larger field sizes, the protons that enter in the phantom at the beam central axis and escape from the axis at the isocenter balance the off‐axis contribution. In such cases, no field‐size effect is observed. As the field size shrinks, the balance is broken due to decreased off‐axis contribution and the field‐size effect begins to appear. On the other hand, edge‐scattered protons in the collimator begin to contribute to the dose at the isocenter as the distance between the beam central axis and the collimator aperture edge gets smaller. Thus the field‐size effect is a net result of such complex phenomena. It is apparent that the observed discrepancy between the measured and calculated field‐size effect implies that the current SMC calculation model is not enough to reproduce the field‐size effect. Although we consider at present that the possible causes of the discrepancy may be the current Gaussian model of initial angular distribution of protons and/or the model of the edge scattering in the collimator, it is an open problem for future study. At present, we correct the difference by the field‐size factor, . For an irregular‐shaped aperture found in the clinical case, a mean aperture radius is calculated and the field‐size factor for a collimator with the same mean aperture radius is used for the correction. We defined the mean aperture radius as a mean of distances between all the collimator edge points and the isocenter. The collimator edge points were given in the same resolution of the planning CT image. Comparison of calculation and measurement results for field‐size effect. The circles show the measurement results, the blue solid line shows the calculation results, and the red thick line shows the F(FS(A)) that is the ratio of measurement and calculation.

D. DMU measurement in clinical conditions

We compared the calculated and measured dose distribution on the isocenter plane for seven clinical fields of H&N, prostate, and lung cancer cases. We mounted a stack of polyethylene phantoms on the PTW 2D array seven29 detector to measure a dose distribution at the same water‐equivalent depth as the water‐equivalent depth of the isocenter for clinical field. The beam line device parameters and the phantom thickness are shown in Table 2, corresponding to the seven clinical cases.
Table 2

Beam delivery and measurement conditions for individual clinical fields

Energy (MeV) SOBP Width (mm) RS Thickness (mm‐WEL) PE Thickness (mm)
Prostate 12356055.1162
Prostate 22356048.7169
Lung 11905062.666
Lung 21505021.552
H&N 11507022.022
H&N 21507026.131
H&N 3150608.720
We also compared the measured and calculated results for 75 clinical fields of H&N, lung, and prostate cancer cases (25 fields for each), including the aforementioned seven fields. We redefined and by the following equations: Here, is a DMU measured in a patient‐specific beam condition with a patient‐aperture collimator and a range compensator. The dose was measured in a polyethylene phantom at the water‐equivalent depth of isocenter by using the PTW 30013. Beam delivery and measurement conditions for individual clinical fields

III. RESULTS & DISCUSSION

Figure 4 shows the measured and calculated relative dose distributions for the seven clinical fields. All datasets were normalized by the . Measured dose distributions were in good agreement with calculated ones. Some of them, such as the X profile of H&N 3 and the Y profile of lung 1, had nonuniform dose distributions around the isocenter. In these cases, the measured DMU may have included a dose error originating from misalignment of the dose monitor relative to the range compensator in the nonuniform dose region. In order to reduce such an error, the dose monitor should be placed in a more uniform dose region.
Figure 4

Measured and calculated relative dose distributions for 7 clinical beams. Left figures show the shape of aperture collimators. Center and right figures show x and y dose profiles, respectively. Red circles are measured doses and blue lines are calculated dose distributions.

Figure 5 shows the relation between the and other calculated or measured factors () of 25 proton dose fields for each of three clinical sites. Upper graphs show the values of , and versus . The error bars for the and were calculated from peak‐to‐peak dose variation within a cubic region of 2 mm on a side around the isocenter obtained by the calculated dose distribution.
Figure 5

(upper) The relation between measured () and calculated factors (, FFS) of 75 proton dose fields. (lower) The difference of or from . The error bars for and were calculated from peak‐to‐peak dose variation within a cubic region of 2 mm on a side around the measurement point.

Measured and calculated relative dose distributions for 7 clinical beams. Left figures show the shape of aperture collimators. Center and right figures show x and y dose profiles, respectively. Red circles are measured doses and blue lines are calculated dose distributions. Since the statistical errors were estimated to be smaller than 0.1% for the detection volume of the Farmer chamber, we ignored them. We notice from the graphs in the Fig. 5 that the is a dominant factor of the , since the and were almost 1.0. Here, we focus on the and to evaluate contribution of each factor in the calculation. Lower graphs of Fig. 5 show the differences of the and from the . The mean, standard deviation (SD), maximum, and minimum of the difference are summarized in Table 3 for the and . These results show that agreement between the and is better than that between the and . Thus the and serve to improve calculation accuracy of the DMU significantly.
Table 3

Mean, SD, maximum (each of over‐ and underestimation) of difference of calculation from measurement for 75 clinical dose fields

No. of Fields Mean SD Max. Min.
H&N25 Fcalc,clinicalFmeas,clinical 0.78%1.73%4.93% 2.70%
F BSDFmeas,clinical 0.92%2.58%7.09% 2.91%
Lung25 Fcalc,clinicalFmeas,clinical 0.19% 1.58%2.79% 3.76%
F BSDFmeas,clinical 0.47%2.37%5.56% 2.93%
Prostate25 Fcalc,clinicalFmeas,clinical 0.53%0.42%1.26% 0.21%
F BSDFmeas,clinical 2.21%0.55%3.08%0.54%
For prostate cancer cases, field sizes clustered around 5 cm. The agrees with within of the for all fields. Values of the cluster around 1.1 since the anatomic location and shape of the target are very similar patient by patient. The mean value of minus is systematically larger than that of the minus , and the both SDs are very small. Therefore, in prostate cancer cases, we could obtain the only by adding the difference of the mean values as a correction factor to the . We also notice in the rightmost upper graph of Fig. 5 that the difference comes mainly from the significant deviation of the from unity. It corresponds to the fact that the deviates from unity mostly in the highest energy, 235 MeV, used for prostate cancers. (upper) The relation between measured () and calculated factors (, FFS) of 75 proton dose fields. (lower) The difference of or from . The error bars for and were calculated from peak‐to‐peak dose variation within a cubic region of 2 mm on a side around the measurement point. Mean, SD, maximum (each of over‐ and underestimation) of difference of calculation from measurement for 75 clinical dose fields For the lung and H&N cancer cases, the field sizes distribute between 3 cm to 12 cm in mean radius, as shown in Fig. 6. The agrees with within of the for 94% of 50 fields. The variation of the difference, minus , is larger than that of prostate cancer cases, as shown in Table 3. For H&N and lung cancer cases, the SDs were 1.7% and 1.6%, and maximum differences in plus and minus sides were and , respectively.
Figure 6

The dependence of difference between and on field size. The error bars were calculated from peak‐to‐peak dose variation within a cubic region of 2 mm on a side around the measurement point.

We examined the relation between effect of the possible setup error on the error of the difference and the aperture size of the collimator. Figure 6 shows dependence of the difference and its error on the mean aperture radius of collimator for each of the three proton energies. Errors larger than 2.5% are observed for the collimators with a mean aperture radius less than 70 mm. In these cases, measurement uncertainties caused by the setup error in the region with a nonuniform dose distribution are as large as those shown by the error bars. We also consider here the possible inaccuracy of the present model of the field‐size correction. In the present model, we assume that the is a function of two parameters: the initial proton energy and field size. However, it may also be affected by other conditions: the RS thickness, SOBP width, and the depth of isocenter. Since the error of difference is large for the collimator with small aperture size, as shown in Fig. 6, and the field‐size effect is significant for collimator with smaller aperture size, as shown in Fig. 3, more study for the small proton field will be required to improve calculation accuracy of the DMU. The dependence of difference between and on field size. The error bars were calculated from peak‐to‐peak dose variation within a cubic region of 2 mm on a side around the measurement point.

IV. CONCLUSIONS

We have developed a DMU calculation method combining measurement data and calculation with a simplified Monte Carlo method for the double scattering system of NCCHE. The is represented by the multiplied by Fclinical. The is defined by multiplication of three factors: the beam spreading device factor , the patient‐specific device factor , and the field‐size factor . The is obtained by measurements for limited combinations of three beam delivery conditions: the proton energy, the SOBP width, and the RS thickness. The is obtained by calculations using the SMC method. The is obtained empirically, based on the measurements. Although the is a dominant factor in the DMU calculation method, the and the also contribute significantly to the DMU calculation. The calculated DMUs agreed with measurements within for all of 25 fields for prostate cancer cases and within for 94% of 50 fields for H&N and lung cancer cases. Since the calculation time is within 1 min for each field, this method will be applicable to routine clinical use. Therefore, this method can be applied safely to determination of the DMU for all prostate cancer cases. In addition, it can be applied to determination of the DMU for most of the H&N and lung cancer cases.

ACKNOWLEDGMENTS

We are grateful to Dr. Yuka Matsuzaki, Dr. Shie Nishioka, M.Sc. Yuya Sugama, and Dr. Tomoko Miyagishi for their useful discussion and technical support. The authors would also like to thank Hiroyuki Suzuki, Atsushi Sakamoto, Tetsurou Kawaguchi, Keigo Sadano, Hideki Watanabe, and Masaki Shinoda, SHI Accelerator Service Ltd., for experimental support. This work was supported by JSPS Grant‐in‐Aid for Scientific Research (C) Grant Number 26460739. This study was also supported in part by the National Cancer Center Research and Development Fund (25‐A‐10) and Health Science Research Grants from the Ministry of Health and Welfare.
  17 in total

1.  Experimental determination and verification of the parameters used in a proton pencil beam algorithm.

Authors:  H Szymanowski; A Mazal; C Nauraye; S Biensan; R Ferrand; M C Murillo; S Caneva; G Gaboriaud; J C Rosenwald
Journal:  Med Phys       Date:  2001-06       Impact factor: 4.071

2.  Treatment planning for heavy ion radiotherapy.

Authors:  G T Chen; R P Singh; J R Castro; J T Lyman; J M Quivey
Journal:  Int J Radiat Oncol Biol Phys       Date:  1979-10       Impact factor: 7.038

3.  Clinical implementation of a GPU-based simplified Monte Carlo method for a treatment planning system of proton beam therapy.

Authors:  R Kohno; K Hotta; S Nishioka; K Matsubara; R Tansho; T Suzuki
Journal:  Phys Med Biol       Date:  2011-10-28       Impact factor: 3.609

4.  Characterization of a 2D ion chamber array for the verification of radiotherapy treatments.

Authors:  E Spezi; A L Angelini; F Romani; A Ferri
Journal:  Phys Med Biol       Date:  2005-07-06       Impact factor: 3.609

5.  The prediction of output factors for spread-out proton Bragg peak fields in clinical practice.

Authors:  Hanne M Kooy; Stanley J Rosenthal; Martijn Engelsman; Alejandro Mazal; Roelf L Slopsema; Harald Paganetti; Jacob B Flanz
Journal:  Phys Med Biol       Date:  2005-12-06       Impact factor: 3.609

6.  Monte Carlo calculations for absolute dosimetry to determine machine outputs for proton therapy fields.

Authors:  Harald Paganetti
Journal:  Phys Med Biol       Date:  2006-05-17       Impact factor: 3.609

7.  Development of a simple control system for uniform proton dose distribution in a dual-ring double scattering method.

Authors:  Teiji Nishio; Shouji Kataoka; Masanori Tachibana; Kazutomo Matsumura; Naoya Uzawa; Hideki Saito; Toshinobu Sasano; Michiharu Yamaguchi; Takashi Ogino
Journal:  Phys Med Biol       Date:  2006-02-15       Impact factor: 3.609

8.  Monte Carlo investigation of collimator scatter of proton-therapy beams produced using the passive scattering method.

Authors:  Uwe Titt; Yuanshui Zheng; Oleg N Vassiliev; Wayne D Newhauser
Journal:  Phys Med Biol       Date:  2007-12-28       Impact factor: 3.609

9.  A procedure for calculation of monitor units for passively scattered proton radiotherapy beams.

Authors:  Narayan Sahoo; X Ronald Zhu; Bijan Arjomandy; George Ciangaru; MingFwu Lii; Richard Amos; Richard Wu; Michael T Gillin
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

10.  Monte Carlo fast dose calculator for proton radiotherapy: application to a voxelized geometry representing a patient with prostate cancer.

Authors:  Pablo Yepes; Sharmalee Randeniya; Phillip J Taddei; Wayne D Newhauser
Journal:  Phys Med Biol       Date:  2008-12-10       Impact factor: 3.609

View more
  2 in total

1.  Comparability of three output prediction models for a compact passively double-scattered proton therapy system.

Authors:  Sven Ferguson; Yong Chen; Clara Ferreira; Mohammad Islam; Vance P Keeling; Andy Lau; Salahuddin Ahmad; Hosang Jin
Journal:  J Appl Clin Med Phys       Date:  2017-04-19       Impact factor: 2.102

2.  Investigation on Patient/Compensator Scatter Factor for Monitor Unit Calculation in Proton Therapy.

Authors:  Michael T Prusator; Salahuddin Ahmad; Yong Chen
Journal:  Int J Part Ther       Date:  2018-11-30
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.