Literature DB >> 26572554

Calculation of dose distribution in compressible breast tissues using finite element modeling, Monte Carlo simulation and thermoluminescence dosimeters.

Parvin Mohammadyari1, Reza Faghihi, Mohammad Amin Mosleh-Shirazi, Mehrzad Lotfi, Mohammad Rahim Hematiyan, Craig Koontz, Ali S Meigooni.   

Abstract

Compression is a technique to immobilize the target or improve the dose distribution within the treatment volume during different irradiation techniques such as AccuBoost(®) brachytherapy. However, there is no systematic method for determination of dose distribution for uncompressed tissue after irradiation under compression. In this study, the mechanical behavior of breast tissue between compressed and uncompressed states was investigated. With that, a novel method was developed to determine the dose distribution in uncompressed tissue after irradiation of compressed breast tissue. Dosimetry was performed using two different methods, namely, Monte Carlo simulations using the MCNP5 code and measurements using thermoluminescent dosimeters (TLD). The displacement of the breast elements was simulated using a finite element model and calculated using ABAQUS software. From these results, the 3D dose distribution in uncompressed tissue was determined. The geometry of the model was constructed from magnetic resonance images of six different women volunteers. The mechanical properties were modeled by using the Mooney-Rivlin hyperelastic material model. Experimental dosimetry was performed by placing the TLD chips into the polyvinyl alcohol breast equivalent phantom. The results determined that the nodal displacements, due to the gravitational force and the 60 Newton compression forces (with 43% contraction in the loading direction and 37% expansion in the orthogonal direction) were determined. Finally, a comparison of the experimental data and the simulated data showed agreement within 11.5%  ±  5.9%.

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Year:  2015        PMID: 26572554     DOI: 10.1088/0031-9155/60/23/9185

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  1 in total

1.  A New Method on Kerma Estimation in Mammography Screenings.

Authors:  Mohammad Nabipour; Mohammad Reza Deevband; Amin Asgharzadeh Alvar; Narges Soleimani; Sara Sadeghi
Journal:  J Biomed Phys Eng       Date:  2021-10-01
  1 in total

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