BibTex Citation Data :
@article{JPA25067, author = {Rizki Budiman and Heri Sutanto and Rasito Tursinah and Pandji Triadyaksa}, title = {Dose Distribution of Pencil Beam Proton Therapy using Geant4 Simulation for Breast Cancer Treatment}, journal = {Journal of Physics and Its Applications}, volume = {7}, number = {2}, year = {2025}, keywords = {Breast Cancer; Dose Distribution; Pencil Beam; Proton Therapy; Spread-Out Bragg Peak (SOBP)}, abstract = { This study aims to obtain a Spread-Out Bragg Peak (SOBP) for breast cancer treatment using proton pencil beams Monte Carlo simulation. Proton beams with 2 MeV energy steps from 70 to 110 MeV were simulated using Geant 4 software to generate the SOBP. The optimization tool Linear Least Squares (lsqlin) was used to configure the proper proton beam weighting fraction. This tool successfully produced SOBPs within a depth range of 4-8 cm, 4-6 cm, and 5-7 cm. Comparison against a trial-and-error approach to creating SOBP by a different study shows that Linear Least Squares (lsqlin) approximation leads to a better SOBP. }, issn = {2622-5956}, pages = {43--47} doi = {10.14710/jpa.v7i2.25067}, url = {https://ejournal2.undip.ac.id/index.php/jpa/article/view/25067} }
Refworks Citation Data :
This study aims to obtain a Spread-Out Bragg Peak (SOBP) for breast cancer treatment using proton pencil beams Monte Carlo simulation. Proton beams with 2 MeV energy steps from 70 to 110 MeV were simulated using Geant 4 software to generate the SOBP. The optimization tool Linear Least Squares (lsqlin) was used to configure the proper proton beam weighting fraction. This tool successfully produced SOBPs within a depth range of 4-8 cm, 4-6 cm, and 5-7 cm. Comparison against a trial-and-error approach to creating SOBP by a different study shows that Linear Least Squares (lsqlin) approximation leads to a better SOBP.
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