Prediction of the thickness of the compensator filter in radiation therapy using computational intelligence

Dehlaghi, Vahab; Taghipour, Mostafa; Haghparast, Abbas; Roshani, Gholam Hossein; Rezaei, Abbas; Shayesteh, Sajjad Pashootan; Adineh-Vand, A.; Karimi, Gholamreza

doi:10.1016/j.meddos.2014.09.003

Cited by 4 publications

(5 citation statements)

References 14 publications

(23 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The neurons in each layer connect to all the neurons in the next layer (Roshani et al, 2018). Error propagation algorithm is the most widely used method for training multilayer networks (Dehlaghi et al, 2015). The structure of the MLP network designed to detect human behavioral patterns in the game of Rock-Paper-Scissors is illustrated in Fig.…”

Section: B Mlp Networkmentioning

confidence: 99%

Design and Construction of Zana Robot for Modeling Human Player in Rock-paper-scissors Game using Multilayer Perceptron, Radial basis Functions and Markov Algorithms

Ghasemi

Roshani

Ali

et al. 2021

ARO

View full text Add to dashboard Cite

In this paper, the implementation of artificial neural networks (multilayer perceptron [MLP] and radial base functions [RBF]) and the upgraded Markov chain model have been studied and performed to identify the human behavior patterns during rock, paper, and scissors game. The main motivation of this research is the design and construction of an intelligent robot with the ability to defeat a human opponent. MATLAB software has been used to implement intelligent algorithms. After implementing the algorithms, their effectiveness in detecting human behavior pattern has been investigated. To ensure the ideal performance of the implemented model, each player played with the desired algorithms in three different stages. The results showed that the percentage of winning computer with MLP and RBF neural networks and upgraded Markov model, on average in men and women is 59%, 76.66%, and 75%, respectively. Obtained results clearly indicate a very good performance of the RBF neural network and the upgraded Markov model in the mental modeling of the human opponent in the game of rock, paper, and scissors. In the end, the designed game has been employed in both hardware and software which include the Zana intelligent robot and a digital version with a graphical user interface design on the stand. To the best knowledge of the authors, the precision of novel presented method for determining human behavior patterns was the highest precision among all of the previous studies.

show abstract

Section: B Mlp Networkmentioning

confidence: 99%

Design and Construction of Zana Robot for Modeling Human Player in Rock-paper-scissors Game using Multilayer Perceptron, Radial basis Functions and Markov Algorithms

Ghasemi

Roshani

Ali

et al. 2021

ARO

View full text Add to dashboard Cite

show abstract

“…A biological neuron receives inputs from other sources, combines them, performs generally a nonlinear operation on the result, and then outputs the final result [20,23,25]. ANNs have been used in many different applications such as finance, medicine, engineering, geology and physics [19,22,23]. ANN eliminates the limitations of the classical approaches by extracting the desired information using the input data.…”

Section: Artificial Neural Networkmentioning

confidence: 99%

“…Being intrinsically nonlinear, a trained ANN can grasp certain subtle patterns that tend to be overlooked by common statistical methods. The second advantage is its high predictive accuracy, i.e., the predictive capability for ''new'' data (untrained data) [19][20][21][22][23]. The high predictive accuracy is an assured outcome of the ability of ANN to apprehend the data [21, 24,25].…”

Section: Introductionmentioning

confidence: 99%

Application of Artificial Neural Network for Modeling and Prediction of MTT Assay on Human Lung Epithelial Cancer Cell Lines

AA¹

2015

J Biosens Bioelectron

View full text Add to dashboard Cite

“…Presence of flattening filter flattened the x-ray beam which otherwise peaked in forward direction and caused selective beam hardening by filtering soft component of x-ray photon beam [2]. On J Biomed Phys Eng 2019; 9 (6) www.jbpe.ir Kaushik S., Punia R., Tyagi A. the other hand, x-ray energy spectrum of FFF beam is wider and such an unflattened beam is comprised of a reasonable amount of soft x-ray photons [3]. Many new LINACs have come up with dual mode having option to operate with or without flattening filter.…”

Section: Introductionmentioning

confidence: 99%

“…Cyberknife (Accuray Inc, CA, USA), a robotic radiosurgery machine produces FFF beam in which fields are defined by circular collimator with diameter from 5 mm to 60 mm [5]. Even in modern radiotherapy, compensator alloys have been used frequently [6]. Linear attenuation coefficient of a material defines thickness profile of a compensator and has been usually measured in narrow beam geometry [7].…”

Section: Introductionmentioning

confidence: 99%

Study of Dosimetric Properties of Flattening Filter Free Photon Beam Passing through Cadmium Free Compensator Alloy

2019

View full text Add to dashboard Cite

Background: This study aims to investigate radiation beam geometry of Cyberknife beam and change in dosimetric characteristics of six megavoltage (6MV) flattening filter free (FFF) beam after passing through high density cadmium free compensator alloy. Material and Methods:In this experimental study, changes in FFF beam dosimetric characteristics after passing through compensator alloy was measured. Transmitted intensity of FFF beam was measured in air by an ion chamber at a source to detector distance (SDD) of 800mm. Extended SDD measurement also has been performed at a distance of 1270mm to analyze scattering due to compensator. Linear attenuation coefficient (µ eff ) was measured for cadmium free compensator alloy using simple exponential attenuation model. Percentage depth doses (PDDs) have been measured by a radiation field analyzer with compensator material to observe the beam hardening and change in surface doses and depth doses.Results: Linear attenuation coefficient of compensator alloy was measured 0.042 (Standard Deviation ±0.00099) mm -1 and it was found that there is no change with increase in collimator size. Even after increasing distance source from detector, µ eff has no change. PDDs were found to increase with thickness of compensator. PDD from a 60mm collimator size increased by 5% and 6% at a depth of 100mm and 200mm, respectively in water. PDD also increased with collimator size less significantly. Surface dose was found to decrease with increase in compensator thickness. Conclusion:Cyberknife beam has been found to be narrow beam geometry. FFF beam contains lesser scattered photons. Presence of high density compensator filters out the soft x-ray photon causes significant dosimetric changes.

show abstract

Prediction of the thickness of the compensator filter in radiation therapy using computational intelligence

Cited by 4 publications

References 14 publications

Design and Construction of Zana Robot for Modeling Human Player in Rock-paper-scissors Game using Multilayer Perceptron, Radial basis Functions and Markov Algorithms

Design and Construction of Zana Robot for Modeling Human Player in Rock-paper-scissors Game using Multilayer Perceptron, Radial basis Functions and Markov Algorithms

Application of Artificial Neural Network for Modeling and Prediction of MTT Assay on Human Lung Epithelial Cancer Cell Lines

Study of Dosimetric Properties of Flattening Filter Free Photon Beam Passing through Cadmium Free Compensator Alloy

Contact Info

Product

Resources

About