Evaluation of the Dose Algorithm Based on the Scatter Model Applied for Neutron Therapy Treatment Planning

Yudelev, Mark; Maughan, Richard L.; He, T.; Ragan, Don P.

doi:10.1093/oxfordjournals.rpd.a032009

Cited by 5 publications

(7 citation statements)

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“…The beam profile data collected for the nonfocused neutron beams were entered into the in-house treatment planning system, VRSPLAN,7,8 to create a neutron source with a nonfocused collimation system. Next, treatment plans were developed using the nonfocused beam for actual patients previously treated with neutron therapy at our center.…”

Section: B Treatment Planningmentioning

confidence: 99%

Design considerations for a computer controlled multileaf collimator for the Harper Hospital fast neutron therapy facility

et al. 2002

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The d(48.5) + Be neutron beam from the Harper Hospital superconducting cyclotron is collimated using a unique multirod collimator (MRC). A computer controlled multileaf collimator (MLC) is being designed to improve efficiency and allow for the future development of intensity modulated radiation therapy with neutrons. For the current study the use of focused or unfocused collimator leaves has been studied. Since the engineering effort associated with the leaf design and materials choice impacts significantly on cost, it was desirable to determine the clinical impact of using unfocused leaves in the MLC design. The MRC is a useful tool for studying the effects of using focused versus unfocused beams on beam penumbra. The effects of the penumbra for the different leaf designs on tumor and normal tissue DVHs in two selected sites (prostate and head and neck) was investigated. The increase in the penumbra resulting from using unfocused beams was small (approximately 1.5 mm for a 5 x 5 cm2 field and approximately 7.6 mm for a 25 x 25 cm2 field at 10 cm depth) compared to the contribution of phantom scatter to the penumbra width (5.4 and 20 mm for the small and large fields at 10 cm depth, respectively). Comparison of DVHs for tumor and critical normal tissue in a prostate and head and neck case showed that the dosimetric disadvantages of using an unfocused rather than focused beam were minimal and only significant at shallow depths. For the rare cases, where optimum penumbra conditions are required, a MLC incorporating tapered leaves and, thus, providing focused collimation in one plane is necessary.

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Section: B Treatment Planningmentioning

confidence: 99%

Design considerations for a computer controlled multileaf collimator for the Harper Hospital fast neutron therapy facility

et al. 2002

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“…For the social network information leakage-tracking algorithm, the current main research directions include the extraction of biometrics and the establishment of the trust model. At the level of corresponding biometric extraction, the mainstream extraction includes biometrics such as digital fingerprint, and the main research details include the research on relevant details such as digital fingerprint decoding, coded fingerprint, continuous fingerprint, and discrete fingerprint [ 24 , 25 ]. For the research on relevant aspects of the trust model, relevant researchers in the United States have proposed a trust model based on network structure, which mainly constructs a trust model based on high-density nodes in the network [ 26 ].…”

Section: Related Research: Analysis Of the Research Status Of Online ...mentioning

confidence: 99%

Research on Online Social Network Information Leakage-Tracking Algorithm Based on Deep Learning

Han

2022

Computational Intelligence and Neuroscience

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The rapid iteration of information technology makes the development of online social networks increasingly rapid, and its corresponding network scale is also increasingly large and complex. The corresponding algorithms to deal with social networks and their corresponding related problems are also increasing. The corresponding privacy protection algorithms such as encryption algorithm, access control strategy algorithm, and differential privacy protection algorithm have been studied and analyzed, but these algorithms do not completely solve the problem of privacy disclosure. Based on this, this article first searches and accurately filters the relevant information and content of online social networks based on the deep convolution neural network algorithm, so as to realize the perception and protection of users’ safe content. For the corresponding graphics and data, this article introduces the compressed sensing technology to randomly disturb the corresponding graphics and data. At the level of tracking network information leakage algorithm, this article proposes a network information leakage-tracking algorithm based on digital fingerprint, which mainly uses relevant plug-ins to realize the unique identification processing of users, uses the uniqueness of digital fingerprint to realize the tracking processing of leakers, and formulates the corresponding coding scheme based on the social network topology, and at the same time, the network information leakage-tracking algorithm proposed in this article also has high efficiency in the corresponding digital coding efficiency and scalability. In order to verify the advantages of the online social network information leakage-tracking algorithm based on deep learning, this article compares it with the traditional algorithm. In the experimental part, this article mainly compares the accuracy index, recall index, and performance index. At the corresponding accuracy index level, it can be seen that the maximum improvement of the algorithm proposed in this article is about 10% compared with the traditional algorithm. At the corresponding recall index level, the proposed algorithm is about 5–8% higher than the traditional algorithm. Corresponding to the overall performance index, it improves the performance by about 50% compared with the traditional algorithm. The comparison results show that the proposed algorithm has higher accuracy and the corresponding source tracking is more accurate.

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“…For the second part of this study, an in-house treatment planning system which uses the DSAR method was validated for IMNRT. Previous studies by Yudelev et al (1997) established the validity of this method for dose calculations in neutron beams. These have been reevaluated especially for smaller field sizes.…”

Section: Introductionmentioning

confidence: 94%

“…A dose modifying function which corrects for flatness, contour irregularities, beam filtering etc, was introduced into the dose calculation algorithm. Earlier studies by Yudelev et al validated this DSAR method for dose calculation using neutron beams (Yudelev et al 1997). They incorporated a multiplicative function called the profile function (PF) which is based on the beam profiles and includes any beam modifying factor (Yudelev et al 1997).…”

Section: Feasibility Of the Differential Scatter Air Ratio Model For ...mentioning

confidence: 99%

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Applicability of CORVUS pencil beam model and scatter dose model for intensity modulated neutron therapy

Santanam¹,

He²,

Yudelev³

et al. 2004

Phys. Med. Biol.

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Intensity modulated neutron radiotherapy (IMNRT) is currently being investigated as a mechanism to improve dose conformality in neutron radiotherapy, thereby minimizing normal tissue toxicity. This study investigates the applicability of two different dose calculation algorithms for IMNRT, a commercial system which utilizes a finite size pencil beam (FSPB) model, and an in-house planning system which uses a differential scatter air ratio (DSAR) method. Calculated dose distributions were compared with measured profiles for validation purposes. The beam-profiles matched to within +/-3% in the central region of the field. The 80-20% penumbra width as measured using an ionization chamber varied as 0.6 cm and 1.0 cm for 3 x 3 and 10 x 10 cm2 profile at a depth of 2.5 cm. The FSPB model fitted the data to a penumbra width of 0.1 cm for both 3 x 3 and 10 x 10 cm2 profiles. These results indicate that the commercial system needs further investigation. However, the in-house planning system has been validated for small irregular fields for IMNRT to an accuracy of +/-5%. Absolute dose measurements agreed with the calculated doses to within +/-3%.

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Evaluation of the Dose Algorithm Based on the Scatter Model Applied for Neutron Therapy Treatment Planning

Cited by 5 publications

References 0 publications

Design considerations for a computer controlled multileaf collimator for the Harper Hospital fast neutron therapy facility

Design considerations for a computer controlled multileaf collimator for the Harper Hospital fast neutron therapy facility

Research on Online Social Network Information Leakage-Tracking Algorithm Based on Deep Learning

Applicability of CORVUS pencil beam model and scatter dose model for intensity modulated neutron therapy

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