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S. Gholampourkashi

Researcher at Carleton University

Publications -  7
Citations -  56

S. Gholampourkashi is an academic researcher from Carleton University. The author has contributed to research in topics: Dosimetry & Imaging phantom. The author has an hindex of 3, co-authored 7 publications receiving 35 citations. Previous affiliations of S. Gholampourkashi include Ottawa Hospital.

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Monte Carlo and analytic modeling of an Elekta Infinity linac with Agility MLC: Investigating the significance of accurate model parameters for small radiation fields

TL;DR: Accurate modeling of the full‐width‐half‐maximum (FWHM) of the primary photon source as well as the MLC leaf design (leaf bank rotation, etc.) is essential for accurate calculations of dose delivered by small radiation fields when using virtual source or MC models of the beam.
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Experimental verification of 4D Monte Carlo simulations of dose delivery to a moving anatomy

TL;DR: The authors' 4D Monte Carlo method using defDOSXYZnrc can be used to accurately calculate the dose distribution in continuously moving anatomy for various treatment techniques and, if extended to deformable anatomies, can be use to reconstruct patient delivered dose for use in adaptive radiation therapy.
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Development of a deformable phantom for experimental verification of 4D Monte Carlo simulations in a deforming anatomy.

TL;DR: The deformable lung phantom presented realistic and reproducible motion characteristics and its use for verification of 4D dose calculations was demonstrated, demonstrating the 4DMC method is capable of accurate calculations of the realistic dose delivered to a moving and deforming anatomy during static and dynamic beam delivery techniques.
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SU-E-T-627: Precision Modelling of the Leaf-Bank Rotation in Elekta's Agility MLC: Is It Necessary?

TL;DR: In small-field radiation therapy treatment planning, it is important to properly account for LBROT as an input parameter for MC dose calculations with the Elekta Agility multi-leaf collimator for Monte Carlo simulations.
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Validation of 4D Monte Carlo dose calculations using a programmable deformable lung phantom.

TL;DR: 4DMC method, combined with RADPOS, can accurately simulate realistic dose deliveries to a deforming anatomy moving with realistic breathing traces and is shown to accurately predict the sensitivity of delivered dose to the starting phase of breathing motions.