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FAST STATISTICAL IMAGING RECONSTRUCTION VIA DENOISED ORDERED-SUBSET STATISTICALLY-PENALIZED ALGEBRAIC RECONSTRUCTION TECHNIQUE
FAST STATISTICAL IMAGING RECONSTRUCTION VIA DENOISED ORDERED-SUBSET STATISTICALLY-PENALIZED ALGEBRAIC RECONSTRUCTION TECHNIQUE
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机译:通过降噪的有序子集统计定理的代数重建技术进行快速统计成像重建
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摘要
Described here are systems and methods for iteratively reconstructing images from data acquired using a medical imaging system. The image reconstruction is decomposed into separate linear sub-problems that can be more efficiently solved. A statistical image reconstruction process is decomposed into a statistically-weighted algebraic reconstruction update sequence. After this step, the reconstructed image is denoised using a regularization function.
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