Medical Image Reconstruction Program
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This medical image reconstruction program utilizes the filtered back projection algorithm, a classical computer-aided diagnostic technique designed to generate high-quality reconstructed images through medical image data processing. The algorithm functions by first applying Fourier domain filtering (typically using ramp or Shepp-Logan filters) to raw projection data to reduce noise and artifacts, followed by back projection operations that accumulate filtered projections across all angles to reconstruct cross-sectional images. This method employs computational techniques such as Radon transform inversion and convolution operations to produce clearer and more accurate diagnostic images. Widely applied in medical imaging modalities like CT scanning, this approach enables physicians to enhance disease diagnosis precision and develop optimized treatment plans through improved visualization of anatomical structures.
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