论文信息 - A comparative study on pre-smoothing techniques for projection data with Poisson noise in computed tomography

A comparative study on pre-smoothing techniques for projection data with Poisson noise in computed tomography

Abstract A computer simulation was performed to compare pre-smoothing techniques for noisy projection data in reconstructed (computed tomographic) images and to find suitable pre-smoothing techniques for reducing the noise in the reconstruction. Some are applied to Poison (signal-dependent) noise, and the others to signal-independent noise obtained by the Anscombe transformation of signal-dependent noise. Selective for signal-dependent noise is found to produce superior results.

Shigehito Suzuki

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