1) Eliminates unnecessary parts of a medical image so that the focus remains on critical structures like organs, tissues, or tumors. a) Image Reconstruction  b) Background Removal c) Noise Removal d) Image Compression  2) Reduces file size while maintaining quality. a) Image Reconstruction b) Background Removal c) Noise Removal d) Image compression 3) The process of converting raw scan data into a clear and detailed medical image a) Image Reconstruction  b) Background Removal c) Noise Removal d) Image Compression 4) Appears as random brightness variations in an image. a) Gaussian Noise b) Salt-and-Pepper Noise c) Poisson Noise d) None of the Above 5) Retains all original image data (no quality loss). a) Lossless Compression b) Lossy Compression c) Image Compression d) Image Reconstruction 6) Method that improves image quality by reducing noise and radiation exposure. a) Filtered Back Projection (FBP) b) Iterative Reconstruction 7) Separates the object from the background based on intensity differences. a) Thresholding b) Edge Detection c) Morphological Operations d) NOTA 8) Uses image processing methods like dilation and erosion to refine medical structures. a) Background Removal b) Thresholding c) Edge Detection d) Morphological Operations 9) Works by taking multiple X-ray projections from different angles and reconstructing a full image using mathematical calculations. a) Filtered Back Projection (FBP) b) Iterative Reconstruction

Pre Medical Image Processing

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