Survey: interpolation methods in medical image processing

  title={Survey: interpolation methods in medical image processing},
  author={T. M. Deserno and C. G{\"o}nner and K. Spitzer},
  journal={IEEE Transactions on Medical Imaging},
  • T. M. Deserno, C. Gönner, K. Spitzer
  • Published 1999
  • Medicine, Mathematics, Computer Science
  • IEEE Transactions on Medical Imaging
  • Image interpolation techniques often are required in medical imaging for image generation (e.g., discrete back projection for inverse Radon transform) and processing such as compression or resampling. Since the ideal interpolation function spatially is unlimited, several interpolation kernels of finite size have been introduced. This paper compares 1) truncated and windowed sine; 2) nearest neighbor; 3) linear; 4) quadratic; 5) cubic B-spline; 6) cubic; g) Lagrange; and 7) Gaussian… CONTINUE READING
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