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Iodinated contrast is administered when carrying out computed tomography (CT) scans to define anatomical structures and detect pathologies. The contrast is administered according to different protocols which vary significantly and include vascular, visceral, multiphasic and split-bolus injection studies. Each protocol has its own indications and particularities to optimise the use of the contrast medium in each situation.

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This study investigates the feasibility of employing an in-house-developed physical phantom dedicated to the weekly quality control testing of radiographic systems, performed by radiographers. For this purpose, a 3D phantom was fabricated, featuring test objects, including a model representing a lesion. Alongside this phantom, a commercial phantom, specifically, IBA's Primus L, was utilized.

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Addressing challenges in diagnostic X-ray dosimetry: uncertainties and corrections for AlO:C-based optically stimulated luminescent dosimeters.

Phys Eng Sci Med

September 2024

Medical Physics Laboratory, Radiation Safety and Health Division, Malaysian Nuclear Agency, 43000, Bangi, Kajang, Selangor, Malaysia.

The use of AlO:C-based optically stimulated luminescent dosimeters (OSLDs) in diagnostic X-ray is a challenge because of their energy dependence (ED) and variability of element sensitivity factors (ESFs). This study aims to develop a method to determine ED and ESFs of Landauer nanoDot™ OSLDs for clinical X-ray and investigate the uncertainties associated with ESF and ED correction factors. An area of 2 × 2 cm at the central axis of the X-ray field was used to establish the ESFs.

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Purpose: Single-energy computed tomography (CT) often suffers from poor contrast yet remains critical for effective radiotherapy treatment. Modern therapy systems are often equipped with both megavoltage (MV) and kilovoltage (kV) X-ray sources and thus already possess hardware for dual-energy (DE) CT. There is unexplored potential for enhanced image contrast using MV-kV DE-CT in radiotherapy contexts.

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Established kilovoltage cone-beam computed tomography (kV-CBCT) image quality assurance (QA) guidelines often rely on recommendations provided by the American Association of Physicists in Medicine (AAPM) task group (TG) reports with metrics that use visual analysis. This can result in measurement variations by different users, especially in visually subjective analyzes such as low contrast resolution. Consequently, there is a growing interest in more automated means of image QA analysis that can offer increased consistency, accuracy, and convenience.

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