دکتر ایرج جباری

استادیار

گروه مهندسی هسته‌ای
دانشکده فیزیک

پست الکترونیکی

i_jabbari@ast.ui.ac.ir

تلفن

0098-31-37934762

آدرس

دانشگاه اصفهان میدان آزادی اصفهان، ایران
کد پستی : 8174673441

2009

2025

فعالیت های پژوهشی بر اساس سال

معرفی کلی

علاقه مندی پژوهشی

محاسبات دز در پرتودرمانی شبیه سازی به روش مونت کارلو بازسازی تصاویر پزشکی آشکارسازی و دزیمتری تابش های هسته ای پردازش موازی

سابقه تحصیلی

کارشناسی, فیزیک کاربردی, دانشگاه اصفهان [اصفهان - ایران]
کارشناسی ارشد, مهندسی هسته ای, دانشگاه صنعتی شریف [تهران - ایران]
دکتر, مهندسی هسته ای, دانشگاه شهید بهشتی [تهران - ایران]

دروس

فیزیک پرتو درمانی سیستم های تصویرگر پزشکی آزمایشگاه آشکار سازی تابش های هسته ای

برونداد‌های پژوهشی

همه موارد

مقالات

2009

2025

مقالات لاتین

2025

Integrating DFG spectroscopy with machine learning for direct and accurate gas pressure diagnosis from spectral imagery

( Article )

Khorsandi, A.R., Jabbari, I.

Publication Date: 2025

Optics Express (10944087)33(10)pp. 21393-21412

2024

Beam quality and the mystery behind the lower percentage depth dose in grid radiation therapy

( Article . Gold • Green )

Jabbari, I.

Publication Date: 2024

Scientific Reports (20452322)14(1)

2023

How much should you worry about contaminant neutrons in spatially fractionated grid radiation therapy?

( Article . Green • Gold )

Jabbari, I.

Publication Date: 2023

PLoS ONE (19326203)18(1 January)

Neutron contamination in radiation therapy is of concern in treatment with high-energy photons (> 10 MV). With the development of new radiotherapy modalities such as spatially fractionated grid radiation therapy (SFGRT) or briefly grid radiotherapy, more studies are required to evaluate the risks associated with neutron contamination. In 15 MV SFGRT, high- Z materials such as lead and cerrobend are used as the block on the tray of linear accelerator (linac) which can probably increase the photoneutron production. On the other hand, the high-dose fractions (10-20 Gy) used in SFGRT can induce high neutron contamination. The current study was devoted to addressing these concerns via compression of neutron fluence (Φn) and ambient dose equivalent (H*n 10 ) at the patient table and inside the maze between SFGRT and conventional fractionated radiation therapy (CFRT). The main components of the 15 MV Siemens Primus equipped with different grids and located inside a typical radiotherapy bunker were simulated by the MCNPX® Monte Carlo code. Evidence showed that the material used for grid construction does not significantly increase neutron contamination inside the maze. However, at the end of the maze, neutron contamination in SFGRT is significantly higher than in CFRT. In this regard, a delay time of 15 minutes after SFGRT is recommended for all radiotherapy staff before entering the maze. It can be also concluded that H*n 10 at the patient table is at least 10 times more pronounced than inside the maze. Therefore, the patient is more at risk of neutrons compared to the staff. The H*n 10 at the isocenter in SFGRT with grids made of lead and cerrobend was nearly equal to CFRT. Nevertheless, it was dramatically lower than in CFRT by 30% if the brass grid is used. Accordingly, SFGRT with the brass grid is recommended, from radiation protection aspects. © 2023 Mahmoudi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

2022

Low-dose cone-beam computed tomography reconstruction through a fast three-dimensional compressed sensing method based on the three-dimensional pseudo-polar fourier transform

( Article . Gold • Green )

Jabbari, I.

Publication Date: 2022

Journal Of Medical Signals And Sensors (22287477)12(1)pp. 8-24

Background: Reconstruction of high quality two dimensional images from fan beam computed tomography (CT) with a limited number of projections is already feasible through Fourier based iterative reconstruction method. However, this article is focused on a more complicated reconstruction of three dimensional (3D) images in a sparse view cone beam computed tomography (CBCT) by utilizing Compressive Sensing (CS) based on 3D pseudo polar Fourier transform (PPFT). Method: In comparison with the prevalent Cartesian grid, PPFT re gridding is potent to remove rebinning and interpolation errors. Furthermore, using PPFT based radon transform as the measurement matrix, reduced the computational complexity. Results: In order to show the computational efficiency of the proposed method, we compare it with an algebraic reconstruction technique and a CS type algorithm. We observed convergence in <20 iterations in our algorithm while others would need at least 50 iterations for reconstructing a qualified phantom image. Furthermore, using a fast composite splitting algorithm solver in each iteration makes it a fast CBCT reconstruction algorithm. The algorithm will minimize a linear combination of three terms corresponding to a least square data fitting, Hessian (HS) Penalty and l1 norm wavelet regularization. We named it PP-based compressed sensing-HS-W. In the reconstruction range of 120 projections around the 360° rotation, the image quality is visually similar to reconstructed images by Feldkamp-Davis-Kress algorithm using 720 projections. This represents a high dose reduction. Conclusion: The main achievements of this work are to reduce the radiation dose without degrading the image quality. Its ability in removing the staircase effect, preserving edges and regions with smooth intensity transition, and producing high-resolution, low-noise reconstruction results in low-dose level are also shown. © 2021 Journal of Medical Signals & Sensors Published by Wolters Kluwer-Medknow.

Monte Carlo evaluation of out-of-field dose in 18 MV pelvic radiotherapy using a simplified female MIRD phantom

( Article )

Jabbari, I.

Publication Date: 2022

Biomedical Physics and Engineering Express (20571976)8(1)