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FAST, EFFICIENT, AND LIST-MODE COMPATIBLE TOMOGRAPHIC IMAGE RECONSTRUCTION USING A NOVEL QUADRATIC SURROGATE
专利权人:
发明人:
Jian ZHOU,Evren ASMA,WenIi WANG
申请号:
US15264367
公开号:
US20180075629A1
申请日:
2016.09.13
申请国别(地区):
US
年份:
2018
代理人:
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.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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