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@article{178642,
        author = {Bharat Bhushan Dagur and Rukamanee},
        title = {A COMPARATIVE STUDY OF IMAGE QUALITY BETWEEN COMPUTED RADIOGRAPHY AND DIGITAL RADIOGRAPHY SYSTEMS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {4346-4351},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178642},
        abstract = {Aim of the Study: The abstract starts by clearly stating the aim of the study, which is to compare the image quality between two types of radiography systems: Computed Radiography (CR) and Digital Radiography (DR). The focus is on four key parameters: spatial resolution, contrast, noise, and image sharpness. These are the primary factors that determine how clear and useful a radiographic image is for diagnostic purposes. and material: Quantitative image analysis: This uses digital software tools to measure the performance of the systems in terms of the parameters of interest (spatial resolution, contrast, noise, sharpness). For instance, spatial resolution could be measured using pixel-based analysis, while noise might be quantified using statistical measures. Qualitative visual evaluation: This involves radiologists subjectively evaluating the images to provide insights into how usable and clear the images are for clinical decision-making. Their input helps to add a human element to the findings, considering that technology alone doesn’t always capture all nuances in clinical practice. The study used standardized phantoms—special objects designed to mimic human anatomy.
Results: The study's results clearly favor DR in terms of image quality: Higher spatial resolution (up to 5 lp/mm) in DR compared to CR, meaning DR can capture finer details in images. Enhanced contrast detection, especially in situations where the contrast between structures is low (for example, differentiating soft tissues with similar density). Lower noise levels, particularly when using low-dose settings. Lower noise improves the clarity of the image, making it easier to see smaller structures and abnormalities. Sharper image details, meaning the edges of structures are more defined and precise in DR images, which aids in diagnostics, especially for identifying fractures or small lesions. These findings suggest that DR systems have superior image quality, making them the preferred choice for modern clinical settings.
Conclusion: The study concludes that the superior image quality of DR supports its adoption in modern radiology practices. This aligns with the growing trend of adopting more advanced imaging systems that offer better performance and improved patient outcomes.},
        keywords = {Computed Radiography, Digital Radiography, Spatial Resolution, Contrast, Image Noise, Sharpness, Image Quality.},
        month = {May},
        }