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FAST, EFFICIENT, AND LIST-MODE COMPATIBLE TOMOGRAPHIC IMAGE RECONSTRUCTION USING A NOVEL QUADRATIC SURROGATE
FAST, EFFICIENT, AND LIST-MODE COMPATIBLE TOMOGRAPHIC IMAGE RECONSTRUCTION USING A NOVEL QUADRATIC SURROGATE
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机译:使用新型二次替代物快速,高效且与列表模式兼容的层析图像重建
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摘要
A method and apparatus is provided to iteratively reconstruct a PET image for emission data using separable quadratic surrogates (SQS). The quadratic surrogates include a Poisson likelihood surrogate that has a curvature that depends on a back-projection of an inverse of mean-background signal. The method can be used with Nesterov acceleration and ordered subsets to achieve quadratic convergence to an image minimizing a Poisson Likelihood objective function that includes a regularizer that penalizes roughness in the reconstructed image.
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