Generalized filtered back-projection reconstruction in breast tomosynthesis

被引:0
|
作者
Claus, Bernhard E. H.
Eberhard, Jeffrey W.
Schmitz, Andrea
Carson, Paul
Goodsitt, Mitchell
Chan, Heang-Ping
机构
[1] GE Global Res, Niskayuna, NY USA
[2] Univ Michigan, Ann Arbor, MI 48109 USA
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暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Tomosynthesis reconstruction that produces high-quality images is a difficult problem, due mainly to the highly incomplete data. In this work we present a motivation for the generalized filtered backprojection (GFBP) approach to tomosynthesis reconstruction. This approach is fast (since noniterative), flexible, and results in reconstructions with an image quality that is similar or superior to reconstructions that are mathematically optimal. Results based on synthetic data and patient data are presented.
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页码:167 / 174
页数:8
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