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Iranian Journal of Medical Physics
Scopus
ISSN 2345-3672 · Mashhad University of Medical Sciences · 697 artikel di indeks
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Evaluation of Dose Distribution Homogeneity and Accuracy for a Cs-137 Source Using Thermoluminescent Dosimeters (CaSO₄:Dy and LiF:Mg,Ti)
Introduction: Cesium-137 (Cs-137) is a widely used source of ionizing radiation across various fields.Thermoluminescent dosimeters (TLDs), due to their sensitivity and reliability, are frequently employed to measure radiation dose in medical, industrial, and research applications. This study…
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Evaluation of the Reproducibility and Stability of Radiomic Features Derived from Ovarian MRI Phantom Studies
Introduction: The reproducibility of radiomic features could be a serious obstacle that limits further applications. This study aims to assess the reproducibility of MRI radiomic features by using a biological ovarian phantom and different acquisition parameters.Material and Methods: Three 1.5…
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Tumor and Critical Organ Dose Assessment in Parotid Gland Radiotherapy: Comparison of Calculated and Measured Dose Using Different Techniques
Introduction: Parotid gland tumors account for approximately 3% of head and neck malignancies. Surgery is the primary treatment modality, while postoperative radiotherapy is recommended for high-grade tumors to reduce local recurrence. Several radiotherapy techniques have been used for…
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Comparison of Setup Errors in Prostate Cancer Radiotherapy: MV EPID vs. kV CBCT
Introduction: Accurate patient setup is essential for precise dose delivery in prostate radiotherapy. This study quantified random and systematic setup errors using MV EPID and kV CBCT verification techniques to identify the modality associated with minimal setup errors and to determine appropriate…
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DL-Dose Framework: Introducing a Fast Dose Calculation Engine for Radiotherapy-Based Deep Learning
Introduction: This study aimed to develop a dose prediction framework based on deep learning that utilizes water dose distribution and the characteristics of heterogeneous phantoms as inputs.Material and Methods: A dataset of two hundred heterogeneous phantoms with identical geometry and variable…
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EPID-Based Setup Error Correction in Head and Neck Radiotherapy
Introduction: This study introduces and evaluates a novel optimized averaging method for Electronic Portal Imaging Device (EPID)-based setup corrections, comparing it with conventional approaches. Material and Methods: A total of 28 head and neck cancer patients undergoing conformal radiotherapy…
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Design and Fabrication of Optical Bandpass Filters for Safe 222 nm UVC Light Generation in Medical Disinfection Applications
Introduction: Recent global pandemics have highlighted the urgent need for effective and safe sterilization technologies. Ultraviolet-C (UVC) radiation at a wavelength of 222 nm has attracted considerable attention due to its strong germicidal efficacy combined with its limited penetration into…
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Assessment of Dose Distribution and Organ-at-Risk Exposure in VMAT Versus 3D-CRT for Right Breast Cancer
Introduction: Breast cancer is one of the most common malignant tumors worldwide, and radiotherapy plays a crucial role in its treatment. This study compares Volumetric Modulated Arc Therapy (VMAT) and Three-Dimensional Conformal Radiotherapy (3D-CRT) for right-sided breast cancer treatment…
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Human Absorbed Dose Estimation of 89Zr-Anti-HER2 Complex Based on Animal Data
Introduction: This study aimed to estimate the radiation absorbed dose of human organs after injection of a high-potential PET radioimmunoconjugate of HER2+ breast cancers using the medical internal radiation dose (MIRD) method and the radiation dose assessment resource (RADAR) formalism. Material…
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Dosimetric Comparison of Volumetric Modulated Arc Therapy Treatment Plans using Pareto and Constrained Modes of Optimization with Monaco Treatment Planning System for Left Breast Cancer with Breast Conserving Surgery
Introduction: Volumetric Modulated Arc Therapy (VMAT) is an advanced method of radiation therapy with increased flexibility in intensity modulation. The study aims to compare the dosimetric outcomes of VMAT treatment plans generated using Pareto and Constrained modes of optimization for left breast…
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Evaluation of Gamma Radiation Exposure and Associated Health Risks for Visitors in Hormozgan's Hot Springs, Iran
Introduction: Naturally occurring ionizing radiation is present throughout the Earth's environment, both on the surface, underground, and in the air. Hot springs, renowned for their therapeutic benefits, are popular destinations for hydrotherapy worldwide. However, these hot springs often contain…
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The Importance of Organ-Specific Setup Uncertainties Assessment for Determination of the Planning Target Volume Margin in Prostate and Cervical Cancer Using Electronic Portal Imaging Device (EPID)
Introduction: The setup uncertainty is a significant issue in radiotherapy that affects the accuracy of the delivered dose to the clinical target volume (CTV). To ensure that the target receives an adequate dose despite setup errors, a setup margin is defined around the CTV to determine the…
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Pharmacokinetic and Pharmacodynamic Analysis of Protoporphyrin IX for Enhancing its Efficacy in Photodynamic Therapy
Introduction: Protoporphyrin IX (PpIX) is a critical photosensitizer in photodynamic therapy (PDT) with applications in oncology and dermatology. Despite its clinical importance, comprehensive understanding of its pharmacokinetic profile remains limited. This study aimed to characterize the…
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Stability of Calibration Factors of Survey Meters: A Five-Year Comparative Study
Introduction: Analysis of historical calibration data can reveal a lot about survey meters. The study aims to analyse a five-year historical calibration data of selected survey meters for the stability of indication or otherwise. Material and Methods: A 1000-cc Physikalisch-Technische-Werkstaetten…
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A Review of Normal Brain Aging: Detailed Study of Physiological Changes, Risk Factors, and Neuroimaging Techniques
Introduction: The process of brain aging is a complex phenomenon that can manifest in a number of ways, including normal, pathological, and accelerated aging, each influenced by modifiable factors such as sex and lifestyle. Subtle, preclinical alterations, including iron accumulation, proteostasis…
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Exploration of Monte Carlo Simulation from a Case Study of Particle Transport in the Gamma Knife Perfexion™ Machine
Introduction: Gamma Knife Perfexion™ delivers 192 Cobalt-60 sources to the focal point (isocenter), and the patient is fixed using a stereotactic frame. In conformal techniques, the width of the penumbra resulting in an out-of-field dose of normal tissue adjacent to the tumor must be accurately…
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Comparing the Influence of Different-Order HIFU Harmonic Superposition on Focal Temperature of Biological Tissue
Introduction: While high-intensity focused ultrasound (HIFU) is widely used for non-invasive tumor ablation, current models fail to account for the cumulative energy contributions of nonlinear harmonics (up to the 256th order), significantly limiting treatment precision. This study quantifies the…
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Comparative Analysis of Halcyon IMRT and VMAT Plans with DMX IMRT Plans for Tongue Cancer
Introduction: To determine the most effective treatment plan for tongue cancers, a comparative analysis is being conducted between Intensity-Modulated Radiation Therapy (IMRT_D) plans on the Clinac DMX system and both Volumetric Modulated Arc Therapy (VMAT_H) and IMRT_H plans for Halcyon Elite…
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Design and Biodistribution of 99mTc-Labeled Gold/Gold Sulfide Nanoconjugates: A Preclinical Evaluation in Balb/c Mice
Introduction: Gold/gold sulfide (GGS) nanoparticles exhibit strong near-infrared (NIR) absorption, high chemical stability, low cytotoxicity, and ease of surface functionalization, enabling deep tissue penetration and targeted cancer theranostics. This study aimed to develop and evaluate…
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Alzheimer's disease Recognition Classification Study Using MRI Images Based on Deep Learning and Dual Multilayer Attention Mechanisms
Introduction: Current deep learning-based computer-aided diagnosis (CAD) techniques face challenges in hierarchical feature extraction and computational efficiency. Traditional convolutional neural networks (CNN) often focus on local or single-scale information, neglecting global correlations of…