Abstract: Enhanced spatial transformations are advanced techniques designed to improve the accuracy and quality of translating medical images from one form to another. These transformations help ensure that important details and shapes in the images are preserved during the translation process. This is crucial in medical imaging because doctors rely on accurate images for diagnosing and treating patients. By using enhanced spatial transformations, we can create translated images that closely resemble the original ones, making it easier for doctors to understand and analyze them. This approach combines spatial adjustments (like changing the position of image parts) and intensity adjustments (like altering brightness and contrast) to achieve more realistic and accurate results. The method has been tested successfully in various medical tasks, such as predicting future brain scans and visualizing changes in stroke- affected areas. Overall, enhanced spatial transformations significantly improve the quality of medical image translations, aiding in better clinical decisions and patient care.
Keywords: Spatial Intensity transform, image-to-image translation, Histogram Equalization, Generative Adversarial Network, Sharpening Filters, Noise Reduction, Lack of Ground Truth.
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DOI:
10.17148/IJARCCE.2025.14462
